_ | slide | _ |
Accelerating Pattern Matching or How Much Can You | slide | ? |
AI Support for Accelerating Histopathological | slide | Examinations of Prostate Cancer in Clinical Studies |
alternative method of optoelectronic color analysis for | slide | s, An |
Analysis of Whole | slide | Images of Equine Tendinopathy |
Assessment of Anti-tumor Immune Response in Colorectal Carcinomas from Whole | slide | Images |
Attention-Guided Prototype Mixing: Diversifying Minority Context on Imbalanced Whole | slide | Images Classification Learning |
Automated analysis and diagnosis of skin melanoma on whole | slide | histopathological images |
Automated Detection of DCIS in Whole- | slide | H E Stained Breast Histopathology Images |
Automated Diagnosis of Breast Cancer Using Deep Learning-Based Whole | slide | Image Analysis of Molecular Biomarkers |
Automated invasive ductal carcinoma detection based using deep transfer learning with whole- | slide | images |
Automated Registration of High Resolution Images from | slide | Presentation and Whiteboard Handwriting via a Video Camera |
Automated segmentation of the epidermis area in skin whole | slide | histopathological images |
Bayesian Collaborative Learning for Whole- | slide | Image Classification |
Benchmarking of Image Registration Methods for Differently Stained Histological | slide | s |
Big-Hypergraph Factorization Neural Network for Survival Prediction From Whole | slide | Image |
Boosting Whole | slide | Image Classification from the Perspectives of Distribution, Correlation and Magnification |
Cancer Survival Prediction From Whole | slide | Images With Self-Supervised Learning and Slide Consistency |
Cancer Survival Prediction From Whole | slide | Images With Self-Supervised Learning and Slide Consistency |
Cell Selection-based Data Reduction Pipeline for Whole | slide | Image Analysis of Acute Myeloid Leukemia |
Classification of ANA HEp-2 | slide | images using morphological features of stained patterns |
Computer-aided evaluation of neuroblastoma on whole- | slide | histology images: Classifying grade of neuroblastic differentiation |
Computer-aided prognosis of neuroblastoma on whole- | slide | images: Classification of stromal development |
Con | slide | : Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis |
Context Aware Lung Cancer Annotation in Whole | slide | Images Using Fully Convolutional Neural Networks |
Creating a | slide | presentation from full motion video |
DA-RefineNet: Dual-inputs Attention RefineNet for Whole | slide | Image Segmentation |
Deep Learning Based Pipeline for Efficient Oral Cancer Screening on Whole | slide | Images, A |
Deep Ordinal Focus Assessment for Whole | slide | Images |
DeepLIIF: An Online Platform for Quantification of Clinical Pathology | slide | s |
Defect Detection of Pantograph | slide | Based on Deep Learning and Image Processing Technology |
Detection and classification of cancer in whole | slide | breast histopathology images using deep convolutional networks |
Detection of Prostate Cancer in Whole- | slide | Images Through End-to-End Training With Image-Level Labels |
Detection of slump | slide | s on earthen levees using polarimetric SAR imagery |
Development of Chaos Terrain as Subaqueous | slide | Blocks in Galilaei Crater, Mars |
DHS-CapsNet: Dual horizontal squash capsule networks for lung and colon cancer classification from whole | slide | histopathological images |
Differentiable Zooming for Multiple Instance Learning on Whole- | slide | Images |
Diffusion-based generation of Histopathological Whole | slide | Images at a Gigapixel scale |
Domain Adaptive Classification for Compensating Variability in Histopathological Whole | slide | Images |
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole | slide | Image Classification |
Dual-stream Multiple Instance Learning Network for Whole | slide | Image Classification with Self-supervised Contrastive Learning |
Edge Detection on Pantograph | slide | Image |
Efficient construction of histology | slide | mosaics via phase correlation registration of high resolution tiles |
Efficient DNN-Based Classification of Whole | slide | Gram Stain Images for Microbiology |
Ensemble Network for Region Identification in Breast Histopathology | slide | s |
Ensemble Prostate Tumor Classification in H&E Whole | slide | Imaging via Stain Normalization and Cell Density Estimation |
Estimation of Multiple 2-D Uniform Motions by | slide | : Subspace-Based Line Detection |
Estimation of Skew Angle in Text-Image Analysis by | slide | : Subspace-Based Line Detection |
Evaluating Cell Nuclei Segmentation for Use on Whole- | slide | Images in Lung Cytology |
Evaluation of Multi-resolution Microscope | slide | Scanning Algorithms, An |
Fast and Scalable Pipeline for Stain Normalization of Whole- | slide | Images in Histopathology, A |
Fast MCT optimization for the compression of whole- | slide | images |
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole- | slide | Images for Cancer Metastasis Detection |
Fast Tumor Detector in Whole- | slide | Image With Dynamic Programing Based Monte Carlo Sampling |
Focus Quality Assessment of High-Throughput Whole | slide | Imaging in Digital Pathology |
Generating Hypergraph-Based High-Order Representations of Whole- | slide | Histopathological Images for Survival Prediction |
Graph-Transformer for Whole | slide | Image Classification, A |
Hierarchical Transformer for Survival Prediction Using Multimodality Whole | slide | Images and Genomics |
High-Order Correlation-Guided | slide | -Level Histology Retrieval With Self-Supervised Hashing |
Histopathological Whole | slide | Image Analysis Using Context-Based CBIR |
Histopathology Whole | slide | Image Analysis with Heterogeneous Graph Representation Learning |
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole | slide | Images |
Improved Quadratic Mapping Algorithm for Restoring Colour in Faded Photographs and | slide | s |
Improving and Aligning Speech with Presentation | slide | s |
Interventional Bag Multi-Instance Learning On Whole- | slide | Pathological Images |
investigation of attention mechanisms in histopathology whole- | slide | -image analysis for regression objectives, An |
Investigation of Methodologies for the Segmentation of Squamous Epithelium from Cervical Histological Virtual | slide | s |
Iterative Cross-Scanner Registration for Whole | slide | Images |
Kernel Attention Transformer for Histopathology Whole | slide | Image Analysis and Assistant Cancer Diagnosis |
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole- | slide | Images |
Learning to Segment Breast Biopsy Whole | slide | Images |
LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole | slide | Image |
Localization of Diagnostically Relevant Regions of Interest in Whole | slide | Images |
Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole- | slide | Image Analysis Outcomes for Colorectal Polyps |
Lymph Node Metastasis Prediction From Whole | slide | Images With Transformer-Guided Multiinstance Learning and Knowledge Transfer |
Map3D: Registration-Based Multi-Object Tracking on 3D Serial Whole | slide | Images |
Measuring dense false positive regions from segmentation result for whole | slide | tissue histology image |
MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole | slide | Image Classification |
Mitosis Extraction in Breast-Cancer Histopathological Whole | slide | Images |
Mosaic-Based Color-Transform Optimization for Lossy and Lossy-to-Lossless Compression of Pathology Whole- | slide | Images |
Multi-Instance Multi-Label Learning for Multi-Class Classification of Whole | slide | Breast Histopathology Images |
Multi-Layer Virtual | slide | Scanning System with Multi-Focus Image Fusion for Cytopathology and Image Diagnosis |
Multiclass Classification of Breast Cancer in Whole- | slide | Images |
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole | slide | Images |
Multiple Instance Learning Approach toward Optimal Classification of Pathology | slide | s, A |
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole | slide | Image Classification |
Multiscale Detection of Cancerous Tissue in High Resolution | slide | Scans |
MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole | slide | Image Classification |
New InSAR Phase Demodulation Technique Developed for a Typical Example of a Complex, Multi-Lobed Land | slide | Displacement Field, Fels Glacier Slide, Alaska, A |
Node-aligned Graph Convolutional Network for Whole- | slide | Image Representation and Classification |
OCR based | slide | retrieval |
On Land | slide | Detection Using Terrasar-x Over Earthen Levees |
On The Magic Of | slide | |
Patch-Based Convolutional Neural Network for Whole | slide | Tissue Image Classification |
Patient-level Microsatellite Stability Assessment from Whole | slide | Images by Combining Momentum Contrast Learning and Group Patch Embeddings |
Performance Analysis of Three Microscope | slide | Scanning Techniques |
RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole | slide | Images with Diverse Sizes and Imbalanced Categories |
Registration-enhanced multiple instance learning for cervical cancer whole | slide | image classification |
robust framework for aligning lecture | slide | s with video, A |
Robust Spatiotemporal Matching of Electronic | slide | s to Presentation Videos |
ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole- | slide | Image |
Segmentation and localisation of whole | slide | images using unsupervised learning |
Segmentation of Tissue Regions in Whole | slide | Images Using Hand-Crafted Image Features |
Semantic Labels-Aware Transformer Model for Searching over a Large Collection of Lecture- | slide | s |
Shared-Specific Feature Learning With Bottleneck Fusion Transformer for Multi-Modal Whole | slide | Image Analysis |
Shuffle Attention Multiple Instances Learning for Breast Cancer Whole | slide | Image Classification |
| slide | deep reinforcement learning networks: Application for left ventricle segmentation |
| slide | Screening of Metastases in Lymph Nodes via Conditional, Fully Convolutional Segmentation |
| slide | -Transformer: Hierarchical Vision Transformer with Local Self-Attention |
| slide | : Saliency guided image dictionary and image similarity evaluation |
| slide | : Self-supervised LiDAR De-snowing Through Reconstruction Difficulty |
| slide | : Single Image 3D Photography with Soft Layering and Depth-aware Inpainting |
| slide | : Subspace-Based Line Detection |
| slide | Net: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks |
Slip and | slide | Detection and Adaptive Information Sharing Algorithms for High-Speed Train Navigation Systems |
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole | slide | Image Classification |
SPaSe - Multi-Label Page Segmentation for Presentation | slide | s |
Stain Specific Standardization of Whole- | slide | Histopathological Images |
Susceptibility to Translational | slide | -Type Landslides: Applicability of the Main Scarp Upper Edge as a Dependent Variable Representation by Reduced Chi-Square Analysis |
Synchronization of presentation | slide | s and lecture videos using bit rate sequences |
Table Detection from | slide | Images |
Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole | slide | Image Classification |
Technology for Automated Morphologic Analysis of Cytological | slide | s. Methods and Results |
Texture and Mathematical Morphology for Hot-Spot Detection in Whole | slide | Images of Meningiomas and Oligodendrogliomas |
Texture-Based Multiscale Segmentation: Application to Stromal Compartment Characterization on Ovarian Carcinoma Virtual | slide | s |
Triaging Diagnostically Relevant Regions from Pathology Whole | slide | s of Breast Cancer: A Texture Based Approach |
Using Whole | slide | Image Representations from Self-supervised Contrastive Learning for Melanoma Concordance Regression |
Weakly Supervised Deep Learning for Whole | slide | Lung Cancer Image Analysis |
Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole- | slide | Pathological Images |
Whole | slide | Analysis, Histopahtology, Cells |
Whole | slide | cervical image classification based on convolutional neural network and random forest |
Whole | slide | Image Classification via Iterative Patch Labelling |
Whole- | slide | Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks |
whole- | slide | pathology segmentation framework for the diagnosis of non-small cell lung cancer, A |
WSISA: Making Survival Prediction from Whole | slide | Histopathological Images |
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