_ | mammogram | _ |
Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for | mammogram | Mass Detection |
Adaptive kernel learning for detection of clustered microcalcifications in | mammogram | s |
Adaptive Probabilistic Thresholding Method for Accurate Breast Region Segmentation in | mammogram | s |
Adaptive Trimmed Median Filter for Impulse Noise Detection and Removal with an Application to | mammogram | Images |
Algorithms for Detecting Clusters of Microcalcifications in | mammogram | s |
Analysing the Curvature of the Pectoralis Muscle in | mammogram | s |
Analysis of asymmetry in | mammogram | s via directional filtering with gabor wavelets |
Analysis of | mammogram | classification using a wavelet transform decomposition |
Analysis of Structural Similarity in | mammogram | s for Detection of Bilateral Asymmetry |
Anatomical Coordinate System for Bilateral Registration of | mammogram | s |
Anatomically Oriented Breast Coordinate System for | mammogram | Analysis, An |
Application of Artificial Neural Networks to Medical Image Pattern-Recognition: Detection of Clustered Microcalcifications on | mammogram | s and Lung-Cancer on Chest Radiographs |
Approaches for automated detection and classification of masses in | mammogram | s |
artificial intelligent algorithm for tumor detection in screening | mammogram | , An |
Automated Analysis of Unregistered Multi-View | mammogram | s With Deep Learning |
Automated assessment of breast tissue density in digital | mammogram | s |
Automated digital | mammogram | segmentation using Dispersed Region Growing and Sliding Window Algorithm |
Automated Extraction of Microcalcifications BI-Rads Numbers in | mammogram | s |
Automated Mass Detection in | mammogram | s Using Cascaded Deep Learning and Random Forests |
Automated Region of Interest Detection of Spiculated Masses on Digital | mammogram | s |
Automatic BI-RADS Classification of | mammogram | s |
Automatic detection of injuries in | mammogram | s using image analysis techniques |
Automatic detection of malignant tumors on | mammogram | |
Automatic Detection of Microcalcification in | mammogram | s: A Review |
Automatic Identification of the Pectoral Muscle in | mammogram | s |
Automatic Pectoral Muscle Segmentation on Mediolateral Oblique View | mammogram | s |
Automatic recognition of spicules in | mammogram | s |
Automatic segmentation of masses in digital | mammogram | s using particle swarm optimization and graph clustering |
Automatic Tuning of MST Segmentation of | mammogram | s for Registration and Mass Detection Algorithms |
Background intensity independent texture features for assessing breast cancer risk in screening | mammogram | s |
Bag-of-Features Based Classification of Breast Parenchymal Tissue in the | mammogram | via Jointly Selecting and Weighting Visual Words |
Bilateral Asymmetry Guided Counterfactual Generating Network for | mammogram | Classification |
Bilateral Breast Volume Asymmetry in Screening | mammogram | s as a Potential Marker of Breast Cancer: Preliminary Experience |
Breast Cancer, | mammogram | s, Analysis, Mammography |
Breast Density Classification Using Local Ternary Patterns in | mammogram | s |
Breast Segmentation with Pectoral Muscle Suppression on Digital | mammogram | s |
Breast tissue density quantification via digitized | mammogram | s |
CAD system for the automatic detection of clustered microcalcifications in digitized | mammogram | films, A |
Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast | mammogram | s |
Characteristics of Architectural Distortions in | mammogram | s: Extraction of Texture Orientation with Gabor Filters |
Check and Link: Pairwise Lesion Correspondence Guides | mammogram | Mass Detection |
Classification of abnormalities in digitized | mammogram | s using Extreme Learning Machine |
Classification of breast mass in two-view | mammogram | s via deep learning |
Classification of Breast Micro-calcifications as Benign or Malignant Using Subtraction of Temporally Sequential Digital | mammogram | s and Machine Learning |
Classification of Breast Tissues in | mammogram | Images Using Ripley's K Function and Support Vector Machine |
Classification of | mammogram | Abnormalities Using Legendre Moments |
Classification of | mammogram | images using the energy probability in frequency domain and most discriminative power coefficients |
Classification of microcalcifications in digital | mammogram | s using trend-oriented radial basis function neural network |
Classifications of benign and malignant | mammogram | images using Gabor-modified CNN architecture |
Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in | mammogram | s |
Combining Experts with Different Features for Classifying Clustered Microcalcifications in | mammogram | s |
comparative study of markovian and variational image-matching techniques in application to | mammogram | s, A |
Comparing one-class and two-class SVM classifiers for normal | mammogram | detection |
Comparison of Class Separability, Forward Sequential Search and Genetic Algorithms for Feature Selection in the Classification of Individual and Clustered Microcalcifications in Digital | mammogram | s |
comparison of methods for | mammogram | registration, A |
Comparison of multiwavelet, wavelet, Haralick, and shape features for microcalcification classification in | mammogram | s |
Comparison of real and computer-simulated clustered microcalcifications on digital | mammogram | s. ROC study |
Comparison of segmentation accuracy for different LUTs applied to digital | mammogram | s |
Compression of digital | mammogram | databases using a near-lossless scheme |
Computer Aided Detection of Abnormalities in | mammogram | s |
Computer aided detection of clustered microcalcifications in digitized | mammogram | s using Gabor functions |
Computer-aided detection and classification of microcalcifications in | mammogram | s: a survey |
Computer-Aided Evaluation of Screening | mammogram | s Based on Local Texture Models |
Computer-aided | mammogram | diagnosis system using deep learning convolutional fully complex-valued relaxation neural network classifier |
Computerized analysis of multiple-mammographic views: potential usefulness of special view | mammogram | s in computer-aided diagnosis |
Computerized detection of malignant tumors on digital | mammogram | s |
Content-based | mammogram | retrieval using k-means clustering and local binary pattern |
Content-Based | mammogram | Retrieval Using Mixed Kernel PCA and Curvelet Transform |
Context-based ensemble classification for the detection of architectural distortion in a digitised | mammogram | |
context-sensitive deep learning approach for microcalcification detection in | mammogram | s, A |
Contrast enhancement of digital | mammogram | s using a novel walking ant histogram equalisation |
Correspondence Between two Different Views of X-Ray | mammogram | s Using Simulation of Breast Deformation |
Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for | mammogram | Mass Detection |
Cross-View Relation Networks for | mammogram | Mass Detection |
Deep learning algorithm for breast masses classification in | mammogram | s |
Deep learning of longitudinal | mammogram | examinations for breast cancer risk prediction |
Deep structured learning for mass segmentation from | mammogram | s |
DeepLIMa: Deep Learning Based Lesion Identification in | mammogram | s |
Deeply supervised U-Net for mass segmentation in digital | mammogram | s |
Detecting Cardiovascular Disease from | mammogram | s With Deep Learning |
Detecting Stellate Lesions in | mammogram | s via Statistical Models |
Detection and classification of breast cancer from digital | mammogram | s using hybrid extreme learning machine classifier |
Detection and classification of lobular and DCIS (small cell) microcalcifications in digital | mammogram | s |
Detection and classification of microcalcification from digital | mammogram | s with firefly algorithm, extreme learning machine and non-linear regression models: A comparison |
Detection of architectural distortion from the ridges in a digitized | mammogram | |
Detection of Architectural Distortion in Prior | mammogram | s |
Detection of areas containing microcalcifications in digital | mammogram | s |
Detection of breast masses in | mammogram | s by density slicing and texture flow-field analysis |
Detection of clustered microcalcifications in compressed | mammogram | s |
Detection of Clustered Microcalcifications on | mammogram | s Using Surrounding Region Dependence Method and Artificial Neural Network |
Detection of Masses in Digital | mammogram | s using K-Means and Support Vector Machine |
Detection of Masses in | mammogram | s Using Cellular Neural Networks, Hidden Markov Models and Ripley's K Function |
Detection of Masses in | mammogram | s Using Texture Features |
Detection of Microcalcification Clusters in | mammogram | s Using a Difference of Optimized Gaussian Filters |
Detection of microcalcifications clusters in | mammogram | s through TS-MRF segmentation and SVM-based classification |
Detection of microcalcifications in | mammogram | s using eyetrack data |
Detection of Spicules in | mammogram | s |
Detection of spicules on | mammogram | based on skeleton analysis |
Detection of stellate distortions in | mammogram | s |
Determination of the Number of Suspicious Clustered Micro Calcifications on ROI of | mammogram | Images, The |
Differential analysis of bilateral | mammogram | s |
Disparity Estimation on Stereo | mammogram | s |
DU-Net: Convolutional Network for the Detection of Arterial Calcifications in | mammogram | s |
dynamic fuzzy classifier for detecting abnormalities in | mammogram | s, A |
Early breast cancer diagnosis using cogent activation function-based deep learning implementation on screened | mammogram | s |
Effective features based on normal linear structures for detecting microcalcifications in | mammogram | s |
Empirical Evaluation of Generic Weighted Cubicle Pattern and LBP Derivatives for Abnormality Detection in | mammogram | Images |
Enhanced accuracy of breast cancer detection in digital | mammogram | s using wavelet analysis |
Enhancement of | mammogram | s from Oriented Information |
Enhancement of | mammogram | s: Experimental Results |
Enhancement of Screen Film | mammogram | up to a Level of Digital Mammogram: Experimental Analysis |
Enhancement of Screen Film | mammogram | up to a Level of Digital Mammogram: Experimental Analysis |
Enhancement of Visual Perception Through Dynamic Cues: An Application to | mammogram | s |
Feature Extraction for a Precise Characterization of Microcalcifications in | mammogram | s |
Feature extraction method for breast cancer diagnosis in digital | mammogram | s using multi-resolution transformations and SVM-fuzzy logic classifier |
Finding Curvilinear Structures in | mammogram | s |
Fractal Analysis of | mammogram | s |
Fractal Modeling and Segmentation for the Enhancement of Microcalcifications in Digital | mammogram | s |
Fully automated scheme for computer-aided detection and breast cancer diagnosis using digitised | mammogram | s |
Fuzzy Logic Based Segmentation of Microcalcification in Breast Using Digital | mammogram | s Considering Multiresolution |
Generating Realistic Mass Lesions In Digital | mammogram | s Using Statistical Models |
Generating Synthetic | mammogram | s From Reconstructed Tomosynthesis Volumes |
Hierarchical Learning Approach for Detection of Clustered Microcalcifications in | mammogram | s, A |
Highly regular wavelets for the detection of clustered microcalcifications in | mammogram | s |
How to Define the Notion of Microcalcifications in Digitized | mammogram | s |
Human Visual System Based | mammogram | Enhancement and Analysis |
iCAP: An Individualized Model Combining Gaze Parameters and Image-Based Features to Predict Radiologists Decisions While Reading | mammogram | s |
Identifying Women With Mammographically-Occult Breast Cancer Leveraging GAN-Simulated | mammogram | s |
Image Enhancement Algorithm Based on a Contrast Measure in the Wavelet Domain for Screening | mammogram | s, An |
Image Quality in Lossy Compressed Digital | mammogram | s |
Improving uniformity in detection performance of clustered microcalcifications in | mammogram | s |
Influence function based Gaussianity tests for detection of microcalcifications in | mammogram | images |
Integration of ultrasound and | mammogram | for multimodal classification of breast cancer using hybrid residual neural network and machine learning |
Intuitionistic fuzzy approach for enhancement of low contrast | mammogram | images |
Learning contextual relationships in | mammogram | s using a hierarchical pyramid neural network |
Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in | mammogram | s |
Looking for Abnormalities in | mammogram | s With Self- and Weakly Supervised Reconstruction |
Malignancy detection on | mammogram | s by integrating modified convolutional neural network classifier and texture features |
| mammogram | Analysis Using Two-Dimensional Autoregressive Models: Sufficient or Not? |
| mammogram | Image Superresolution Based on Statistical Moment Analysis |
| mammogram | iterative pompeiu-hausdorff registration algorithm |
| mammogram | Mass Classification with Temporal Features and Multiple Kernel Learning |
| mammogram | Registration: A Phantom-Based Evaluation of Compressed Breast Thickness Variation Effects |
| mammogram | Retrieval by Similarity Learning from Experts |
| mammogram | s, Breast Cancer, Ultrasound |
| mammogram | s, Density Issues |
| mammogram | s, Image Enhancement, Noise Suppression |
| mammogram | s, MRI, Magnetic Resonance Imaging |
| mammogram | s, Three Dimensional Analysis, Registration |
Manifold Learning for Density Segmentation in High Risk | mammogram | s |
Mass classification in | mammogram | s based on two-concentric masks and discriminating texton |
Mass Detection in Digital | mammogram | s Using Optimized Gabor Filter Bank |
Mass detection on | mammogram | s: Influence of signal shape uncertainty on human and model observers |
Mass Segmentation in | mammogram | s Based on the Combination of the Spiking Cortical Model (SCM) and the Improved CV Model |
Mass segmentation in | mammogram | s: A cross-sensor comparison of deep and tailored features |
Medical image analysis an attempt for | mammogram | classification using texture based association rule mining |
Mesh-free approach for enhancement of | mammogram | s |
Meta-Heuristic Algorithms for Automatic Detection of Microcalcifications In Digital | mammogram | s |
Method and system for the detection of microcalcifications in digital | mammogram | s |
microcalcification enhancement method for | mammogram | images, A |
Modeling and Classifying Breast Tissue Density in | mammogram | s |
Morphological Enhancement of Microcalcifications in Digital | mammogram | s |
Multi-Type Classification Comparison of | mammogram | Abnormalities |
Multi-view content-based | mammogram | retrieval using dynamic similarity and locality sensitive hashing |
Multiple Network CGP for the Classification of | mammogram | s |
Multiresolution detection of spiculated lesions in digital | mammogram | s |
Multiresolution Detection of Stellate Lesions in | mammogram | s |
Multiresolution | mammogram | analysis in multilevel decomposition |
Multiresolution statistical analysis of high-resolution digital | mammogram | s |
Multiresolution Wavelet Analysis of Digital | mammogram | s Using Gaussian Markov Random Field Model, A |
multiscale image enhancement method for calcification detection in screening | mammogram | s, A |
Mutual information-based SVM-RFE for diagnostic classification of digitized | mammogram | s |
new application of texture unit coding to mass classification for | mammogram | s, A |
new multi-expert decision combination algorithm and its application to the detection of circumscribed masses in digital | mammogram | s, A |
New Preprocessing Filter for Digital | mammogram | s, A |
New Validation Method for Establishing Correspondence Between Pairs of X-Ray | mammogram | s |
New Validation Method for X-ray | mammogram | Registration Algorithms Using a Projection Model of Breast X-ray Compression, A |
Noise Equalization for Detection of Microcalcification Clusters in Direct Digital | mammogram | Images |
Normal | mammogram | analysis and recognition |
Normalization of local contrast in | mammogram | s |
Novel features for microcalcification detection in digital | mammogram | images based on wavelet and statistical analysis |
novel improved crow-search algorithm to classify the severity in digital | mammogram | s, A |
novel soft cluster neural network for the classification of suspicious areas in digital | mammogram | s, A |
On Digital | mammogram | Segmentation and Microcalcification Detection Using Multiresolution Wavelet Analysis |
One-shot segmentation of breast, pectoral muscle, and background in digitised | mammogram | s |
Optimizing wavelet transform based on supervised learning for detection of microcalcifications in digital | mammogram | s |
Pectoral Muscle Elimination on | mammogram | Using K-Means Clustering Approach |
Pectoral Muscle Segmentation in | mammogram | s Based on Cartoon-Texture Decomposition |
Pectoral muscle segmentation in | mammogram | s based on homogenous texture and intensity deviation |
Performance Analysis of Rough Reduct Algorithms in | mammogram | |
Predicting Radiologist Attention During | mammogram | Reading with Deep and Shallow High-Resolution Encoding |
Predicting Radiologists' Gaze With Computational Saliency Models in | mammogram | Reading |
Pseudocolor enhancement of | mammogram | texture abnormalities |
Quantitative assessment of breast dense tissue on | mammogram | s |
Quantitative study of image features of clustered microcalcifications in for-presentation | mammogram | s |
Real-time automated segmentation of breast lesions using CNN-based deep learning paradigm: Investigation on | mammogram | and ultrasound |
Region, Lesion and Border-Based Multiresolution Analysis of | mammogram | Lesions |
Region-Based Contrast Enhancement of Digital | mammogram | s Using an Improved Watershed Segmentation |
Registration and analysis for images couple: Application to | mammogram | s |
Registration Framework for the Comparison of | mammogram | Sequences, A |
Relevance feedback based on incremental learning for | mammogram | retrieval |
Relevance Vector Machine Learning for Detection of Microcalcifications in | mammogram | s |
Risk Classification of | mammogram | s Using Anatomical Linear Structure and Density Information |
Robust active contours for | mammogram | image segmentation |
Robust information clustering incorporating spatial information for breast mass detection in digitized | mammogram | s |
Robust Initial Detection of Landmarks in Film-Screen | mammogram | s Using Multiple FFDM Atlases |
Role of Entropy: | mammogram | Analysis, The |
Salience measure for assessing scale-based features in | mammogram | s |
Scalable | mammogram | Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization |
Scale-space signatures for the detection of clustered microcalcifications in digital | mammogram | s |
Segmentation of the Breast Region in | mammogram | s Using a Rule-Based Fuzzy Reasoning Algorithm |
Segmentation of the breast region in | mammogram | s using snakes |
Separating Background Texture and Image Structure in | mammogram | s |
simple method for automatically locating the nipple on | mammogram | s, A |
Simultaneous Segmentation and Classification of Mass Region From | mammogram | s Using a Mixed-Supervision Guided Deep Model |
Single and multiscale detection of masses in digital | mammogram | s |
Spiral Method Applied to the Study of the Microcalcifications in | mammogram | s, The |
Statistical textural features for detection of microcalcifications in digitized | mammogram | s |
Statistical-Genetic Algorithm to Select the Most Significant Features in | mammogram | s, A |
Stochastic model for automated detection of calcifications in digital | mammogram | s |
Structural Comparison of | mammogram | s |
supervised micro-calcification detection approach in digitised | mammogram | s, A |
support vector machine approach for detection of microcalcifications in | mammogram | s, A |
Suppression of Stripe Artifacts in | mammogram | s Using Weighted Median Filtering |
Surrounding Region Dependence Method For Detection Of Clustered Microcalcifications on | mammogram | s |
Synthesis of | mammogram | From Digital Breast Tomosynthesis Using Deep Convolutional Neural Network With Gradient Guided cGANs |
Texton analysis for mass classification in | mammogram | s |
Texture and region dependent breast cancer risk assessment from screening | mammogram | s |
Texture and statistical analysis of | mammogram | s: A novel method to detect tumor in Breast Cells |
Toward breast cancer diagnosis based on automated segmentation of masses in | mammogram | s |
Transformation of | mammogram | s Using Anatomical Features |
Tumor Detection in Digital | mammogram | s |
Two graph theory based methods for identifying the pectoral muscle in | mammogram | s |
Two-Level Algorithm for MCs Detection in | mammogram | s Using Diverse-Adaboost-SVM |
Two-step evidential fusion approach for accurate breast region segmentation in | mammogram | s |
Unsupervised clustering of | mammogram | s for outlier detection and breast density estimation |
Unsupervised | mammogram | s segmentation |
Unsupervised Scheme for Detection of Microcalcifications on | mammogram | s, An |
Use of Normal Tissue Context in Computer-Aided Detection of Masses in | mammogram | s |
Use of Quadrature Filters for Detection of Stellate Lesions in | mammogram | s |
Using Renyi's Information and Wavelets for Target Detection: An Application to | mammogram | s |
USMLP: U-shaped Sparse-MLP network for mass segmentation in | mammogram | s |
Visual Perception Driven Registration of | mammogram | s |
Volumetric breast density estimation from full-field digital | mammogram | s |
Watermarking of digital | mammogram | s without interfering with automatic detection of microcalcifications |
wavelet based morphological mass detection and classification in | mammogram | s, A |
Wavelet transforms for detecting microcalcifications in | mammogram | s |
247 for mammogram
_ | mammographic | _ |
adaptive density-weighted contrast enhancement filter for | mammographic | breast mass detection, An |
Adaptive Feature Enhancement for | mammographic | Images with Wavelet Multiresolution Analysis |
Adaptive | mammographic | Image Enhancement Using First Derivative and Local Statistics |
Analysis of 2D singularities for | mammographic | mass classification |
Analysis of | mammographic | microcalcifications using gray-level image structure features |
Anisotropic Enhancement of | mammographic | Images |
Association Between Changes in | mammographic | Image Features and Risk for Near-Term Breast Cancer Development |
Automated Effect-Specific | mammographic | Pattern Measures |
Automated | mammographic | Risk Classification Based on Breast Density Estimation |
Automated Quality Assurance Applied to | mammographic | Imaging |
Automatic assessment of | mammographic | positioning on the mediolateral oblique view |
Breast cancer diagnosis from | mammographic | images using optimized feature selection and neural network architecture |
Breast Mass Segmentation in | mammographic | Images by an Effective Region Growing Algorithm |
Case-based decision strategy using outlier probability in detection of microcalcifications in | mammographic | lesions |
Classification of | mammographic | microcalcification clusters using a combination of topological and location modelling |
Classifying Breast Density in | mammographic | Images Using Wavelet-Based and Fine-Tuned Sensory Neural Networks |
Classifying | mammographic | mass shapes using the wavelet transform modulus-maxima method |
Combining cues for | mammographic | abnormalities |
comparative study on | mammographic | image denoising technique using wavelet, curvelet and contourlet transforms, A |
Computer-aided characterization of | mammographic | masses: Accuracy of mass segmentation and its effects on characterization |
Computer-aided diagnosis of | mammographic | masses based on a supervised content-based image retrieval approach |
Computerized analysis of multiple- | mammographic | views: potential usefulness of special view mammograms in computer-aided diagnosis |
Curvilinear Structure Based | mammographic | Registration |
Deep Classification of | mammographic | Breast Density: DCBARNet |
Deep Neural Networks With Region-Based Pooling Structures for | mammographic | Image Classification |
Detection of | mammographic | Masses by Content-Based Image Retrieval |
Detection, Synthesis and Compression in | mammographic | Image Analysis with a Hierarchical Image Probability Model |
Development and Assessment of a New Global | mammographic | Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases |
Development of an automated method for detecting | mammographic | masses with a partial loss of region |
Development of an intelligent CAD system for mass detection in | mammographic | images |
Enhancement via fusion of | mammographic | features |
Establishing the Correspondence Between Control Points in Pairs of | mammographic | Images |
Feature Extraction from Contours Shape for Tumor Analyzing in | mammographic | Images |
Filtering noise on | mammographic | phantom images using local contrast modification functions |
Finding Orientated Line Patterns in Digital | mammographic | Images |
Fuzzy convex set-based pattern classification for analysis of | mammographic | microcalcifications |
Gradient and texture analysis for the classification of | mammographic | masses |
Graph-Based Method for Detecting and Classifying Clusters in | mammographic | Images, A |
Hierarchical Classification Method for | mammographic | Lesions Using Wavelet Transform and Spatial Features, A |
Human linear template with | mammographic | backgrounds estimated with a genetic algorithm |
Hybrid Biogeography-Based Optimization and Genetic Algorithm for Feature Selection in | mammographic | Breast Density Classification |
Integrating Wavelet-based | mammographic | Image Visualisation on a Web Browser |
Joint Analysis of Multiple | mammographic | Views in CAD Systems for Breast Cancer Detection |
Linear Structures in | mammographic | Images: Detection and Classification |
Local Feature Based Breast Tissue Appearance Modelling for | mammographic | Risk Assessment |
Lossless and Near-Lossless Compression for | mammographic | Digital Images |
Lossless Compression Approach for | mammographic | Digital Images Based on the Delaunay Triangulation, A |
| mammographic | Density Estimation and Classification Using Segmentation and Progressive Elimination Method |
| mammographic | Image Analysis |
| mammographic | Image Segmentation Using a Tissue-mixture Model and Markov Random Fields |
| mammographic | mass classification according to Bi-RADS lexicon |
| mammographic | mass classification using filter response patches |
| mammographic | mass detection based on convolution neural network |
| mammographic | mass detection by adaptive thresholding and region growing |
| mammographic | Mass Detection by Bilateral Analysis Based on Convolution Neural Network |
| mammographic | Mass Detection with Statistical Region Merging |
| mammographic | mass recognition using feature reuse and channel attention mechanism |
| mammographic | Mass Segmentation Using Fuzzy C-means and Decision Trees |
| mammographic | mass segmentation using multichannel and multiscale fully convolutional networks |
| mammographic | mass segmentation: Embedding multiple features in vector-valued level set in ambiguous regions |
Mean shift based algorithm for | mammographic | breast mass detection |
Modelling | mammographic | microcalcification clusters using persistent mereotopology |
multiple circular path convolution neural network system for detection of | mammographic | masses, A |
Multiscale Blob Representation of | mammographic | Parenchymal Patterns and Mammographic Risk Assessment, A |
Multiscale Blob Representation of | mammographic | Parenchymal Patterns and Mammographic Risk Assessment, A |
new approach to the classification of | mammographic | masses and normal breast tissue, A |
new method for | mammographic | mass segmentation based on parametric active contour model, A |
Noise reduction on | mammographic | phantom images |
Novel Approach to Computer-Aided Diagnosis of | mammographic | Images, A |
novel | mammographic | mass detection approach to combining suprevised and unsuprevised detection algorithms, A |
Phase-Adaptive Superresolution of | mammographic | Images Using Complex Wavelets |
Point process modeling for determining detection accuracy of | mammographic | microcalcifications |
Reconstruction of three-dimensional linear structures in the breast from craniocaudal and mediolateral oblique | mammographic | views |
Region based stellate features for classification of | mammographic | spiculated lesions in computer-aided detection |
Representation for | mammographic | Image Processing, A |
Special Issue: State of the Art in Digital | mammographic | Image Analysis |
Stochastic Extraction of Elongated Curvilinear Structures in | mammographic | Images |
Thickness Correction of | mammographic | Images by Means of a Global Parameter Model of the Compressed Breast |
Three-dimensional reconstruction of microcalcification clusters from two | mammographic | views |
Topographic representation based breast density segmentation for | mammographic | risk assessment |
Tracking | mammographic | Structures Over Time |
Tsallis Entropy Extraction for | mammographic | Region Classification |
Unsupervised Deep Learning Applied to Breast Density Segmentation and | mammographic | Risk Scoring |
Unsupervised malignant | mammographic | breast mass segmentation algorithm based on pickard Markov random field |
Wavelet Based Adaptive Algorithm for | mammographic | Images Enhancement and Denoising |
WDCCNet: Weighted Double-Classifier Constraint Neural Network for | mammographic | Image Classification |
86 for mammographic
_ | mammography | _ |
Analysis of Local Feature-Extraction in Digital | mammography | , An |
Anomaly classification in digital | mammography | based on multiple-instance learning |
Authenticity and integrity of digital | mammography | images |
Automated Delineation of Calcified Vessels in | mammography | by Tracking With Uncertainty and Graphical Linking Techniques |
Automated Segmentation of Breast Arterial Calcifications from Digital | mammography | |
Automatic Detection of Abnormal Tissue in | mammography | |
Automatic Detection of Spiculated Masses Using Fractal Analysis in Digital | mammography | |
Automatic Recognition of Microcalcifications in | mammography | Images through Fractal Texture Analysis |
Bilateral Asymmetry Detection in Digital | mammography | Using B-Spline Interpolation |
Boosting-Based Approach to Refine the Segmentation of Masses in | mammography | , A |
Breast Cancer, Mammograms, Analysis, | mammography | |
Breast cancer: A hybrid method for feature selection and classification in digital | mammography | |
Breast mass classification based on supervised contrastive learning and multi-view consistency penalty on | mammography | |
Breast Parenchymal Pattern Analysis in Digital | mammography | : Associations between Tabar and Birads Tissue Compositions |
CCD mosaic technique for large-field digital | mammography | |
Combined Optical Imaging and | mammography | of the Healthy Breast: Optical Contrast Derived From Breast Structure and Compression |
Combining Registration and Abnormality Detection in | mammography | |
Computer aided diagnosis in digital | mammography | using combined support vector machine and linear discriminant analyasis classification |
Computer-aided | mammography | classification of malignant mass regions and normal regions based on novel texton features |
Concentric Morphology Model for the Detection of Masses in | mammography | , A |
Content-based image retrieval for digital | mammography | |
Contourlet-Based | mammography | Mass Classification |
Cooperative agents society organized as an irregular pyramid: A | mammography | segmentation application |
Curvelet analysis of breast masses on dynamic magnetic resonance | mammography | |
DDSM: Digital Database for Screening | mammography | |
Demons Methods for Digital | mammography | Registration |
Digital | mammography | : Gabor Filter for Detection of Microcalcifications |
Digital | mammography | : mixed feature neural network with spectral entropy decision for detection of microcalcifications |
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in | mammography | |
Efficient presentation of DICOM | mammography | images using Matlab |
Embedded wavelet region-based coding methods applied to digital | mammography | |
Evaluating quality and utility in digital | mammography | |
Evaluation and Selection of Morphological Procedures for Automatic Detection of Micro-calcifications in | mammography | Images |
Feature Analysis Approach to Mass Detection in | mammography | Based on RF-SVM, A |
Feature learning based on connectivity estimation for unbiased | mammography | mass classification |
Four Image Interpolation Techniques for Ultrasound Breast Phantom Data Acquired Using Fischer's Full Field Digital | mammography | and Ultrasound System (FFDMUS): A Comparative Approach |
hierarchical neural network architecture that learns target context: applications to digital | mammography | , A |
High Energy Resolution Hyperspectral X-Ray Imaging for Low-Dose Contrast-Enhanced Digital | mammography | |
hybrid feature selection method using both filter and wrapper in | mammography | CAD, A |
Image Reconstruction Algorithm for 3-D Electrical Impedance | mammography | , An |
Image Segmentation Using Multiresolution Wavelet Analysis and Expectation-Maximization (EM) Algorithm for Digital | mammography | |
Improving Segmentation of Breast Arterial Calcifications from Digital | mammography | : Good Annotation is All You Need |
Integrated wavelets for enhancement of microcalcifications in digital | mammography | |
Investigation of CdTe, GaAs, Se and Si as Sensor Materials for | mammography | |
Ipsilateral Multi-View CAD System for Mass Detection in Digital | mammography | |
JPEG2000 ROI coding through component priority for digital | mammography | |
Local elastic matching and pattern recognition in MR | mammography | |
Lossless Compression of Digital | mammography | Using Fixed Block Segmentation and Pixel Grouping |
| mammography | database and view system for the African American patients, A |
| mammography | phantom studies using 3D electrical impedance tomography with numerical forward solver |
| mammography | , Microcalcifications, Detection, Analysis |
| mammography | , Texture Based Techniques, Wavelets |
| mammography | , Thermal, Infrared Analysis |
Method for Interpreting Pixel Grey Levels in Digital | mammography | , A |
Model Based Approach to Object Detection in Digital | mammography | , A |
Multi-agents system for breast tumour detection in | mammography | by deep learning pre-processing and watershed segmentation |
Multi-feature deep information bottleneck network for breast cancer classification in contrast enhanced spectral | mammography | |
Multi-Task Fusion for Improving | mammography | Screening Data Classification |
Multiple-Instance Learning for Anomaly Detection in Digital | mammography | |
New Image Registration Technique with Free Boundary Constraints: Application to | mammography | , A |
Novel | mammography | Image Representation Framework with Application to Image Registration, A |
Novel Method for Segmentation of Breast Masses Based on | mammography | Images, A |
On detecting abnormalities in digital | mammography | |
Optimal Wavelet Filters Selection for Ultrasound and | mammography | Compression |
Optimizing Case-Based Detection Performance in a Multiview CAD System for | mammography | |
parasitic metric learning net for breast mass classification based on | mammography | , A |
Pectoral Muscle Detection in Digital Breast Tomosynthesis and | mammography | |
Performance assessment of | mammography | image segmentation algorithms |
Quantitative Rotating Multisegment Slant-Hole SPECT | mammography | With Attenuation and Collimator-Detector Response Compensation |
Region-based wavelet coding methods for digital | mammography | |
Registered 3-D Ultrasound and Digital Stereotactic | mammography | for Breast Biopsy Guidance |
Semivariogram Applied for Classification of Benign and Malignant Tissues in | mammography | |
Similarity Learning Approach to Content-Based Image Retrieval: Application to Digital | mammography | , A |
Snakules for automatic classification of candidate spiculated mass locations on | mammography | |
Snakules: A Model-Based Active Contour Algorithm for the Annotation of Spicules on | mammography | |
Snakules: Snakes that seek spicules on | mammography | |
statistical evaluation of eye-tracking data of screening | mammography | : Effects of expertise and experience on image reading, A |
Statistical Tests of Anisotropy for Fractional Brownian Textures. Application to Full-field Digital | mammography | |
Stochastic Model and Probabilistic Decision-Based Classifier for Mass Detection in Digital | mammography | |
System-Theoretic Approach to Modeling and Analysis of | mammography | Testing Process, A |
Task-Driven Self-Supervised BI-Channel Networks Learning for Diagnosis of Breast Cancers with | mammography | |
Temporal Change Analysis for Characterization of Mass Lesions in | mammography | |
Thermal analysis of infra-red | mammography | |
Tissue Cancellation in Dual Energy | mammography | Using a Calibration Phantom Customized for Direct Mapping |
Towards an Unsupervised Growcut Algorithm for | mammography | Segmentation |
Towards Robust Natural-Looking | mammography | Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis |
Vibro-acoustic tissue | mammography | |
Wavelet transform matched filters for the detection and classification of microcalcifications in | mammography | |
Wavelet transforms for detecting microcalcifications in | mammography | |
89 for mammography