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| adaptive neuro-fuzzy inference system optimized by genetic algorithm for brain | tumour | detection in magnetic resonance images, An |
| Aligning Bone | tumour | Radiology and Histology Data - How Could We Close the Loopƒ |
| Application for brain | tumour | imaging |
| Automated brain | tumour | segmentation techniques: A review |
| Automatic Brain | tumour | Segmentation in 18F-FDOPA PET Using PET/MRI Fusion |
| Automatic classification of skin | tumour | s with high resolution surface profiles |
| Automatic grading of brain | tumour | s using LSTM neural networks on magnetic resonance spectroscopy signals |
| Automatic Quantification of | tumour | Hypoxia From Multi-Modal Microscopy Images Using Weakly-Supervised Learning Methods |
| Automatic segmentation and classification of lung | tumour | using advance sequential minimal optimisation techniques |
| Brain | tumour | cell segmentation and detection using deep learning networks |
| brain | tumour | classification on the magnetic resonance images using convolutional neural network based privacy-preserving federated learning, A |
| Brain | tumour | classification using siamese neural network and neighbourhood analysis in embedded feature space |
| Brain | tumour | classification using two-tier classifier with adaptive segmentation technique |
| Brain | tumour | detection in magnetic resonance imaging using Levenberg-Marquardt backpropagation neural network |
| Brain | tumour | segmentation of MR images based on custom attention mechanism with transfer-learning |
| CapsNet topology to classify | tumour | s from brain images and comparative evaluation |
| Classification of magnetic resonance images for brain | tumour | detection |
| combination of feature extraction methods and deep learning for brain | tumour | classification, A |
| Contextual information extraction in brain | tumour | segmentation |
| DDVM: dual decision voting mechanism for brain | tumour | identification with LBP2Q-SVM type classifier |
| DeepJoint segmentation for the classification of severity-levels of glioma | tumour | using multimodal MRI images |
| Detection and localisation of multiple brain | tumour | s by object counting and elimination |
| Detection of Bone | tumour | s in Radiographic Images using Neural Networks |
| Diagnosis of brain | tumour | s by MRI binarisation with variable fuzzy level |
| Discriminant Convex Non-negative Matrix Factorization for the classification of human brain | tumour | s |
| Dual encoding DDS-UNet liver | tumour | segmentation based on multi-scale deep and shallow feature fusion |
| EfficientUNet: An efficient solution for breast | tumour | segmentation in ultrasound images |
| Enhanced three-dimensional U-Net with graph-based refining for segmentation of gastrointestinal stromal | tumour | s |
| Ensemble Learning Based Segmentation of Metastatic Liver | tumour | s in Contrast-Enhanced Computed Tomography |
| Evaluating | tumour | Bounding Options for Deep Learning-based Axillary Lymph Node Metastasis Prediction in Breast Cancer |
| Extraction of | tumour | s from MR images of the brain by texture and clustering |
| fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain | tumour | s, A |
| Fully automated brain | tumour | segmentation system in 3D-MRI using symmetry analysis of brain and level sets |
| Fully automated glioma | tumour | segmentation using anatomical symmetry plane detection in multimodal brain MRI |
| Gleason Grading of Prostate | tumour | s with Max-Margin Conditional Random Fields |
| Gradient-based kernel selection technique for | tumour | detection and extraction of medical images using graph cut |
| Hierarchical brain | tumour | segmentation using extremely randomized trees |
| intelligent system for pet | tumour | detection and quantification, An |
| Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain | tumour | Segmentation in MRI |
| Lung | tumour | detection by fusing extended local binary patterns and weighted orientation of difference from computed tomography |
| MEHW-SVM multi-kernel approach for improved brain | tumour | classification |
| METGAN: Generative | tumour | Inpainting and Modality Synthesis in Light Sheet Microscopy |
| Method of multi-region | tumour | segmentation in brain MRI images using grid-based segmentation and weighted bee swarm optimisation |
| Modified spatial neutrosophic clustering technique for boundary extraction of | tumour | s in B-mode BUS images |
| Motion Correction of Intravital Microscopy of Preclinical Lung | tumour | Imaging Using Multichannel Structural Image Descriptor |
| Motion modelling and motion compensated reconstruction of | tumour | s in cone-beam computed tomography |
| Multi-agents system for breast | tumour | detection in mammography by deep learning pre-processing and watershed segmentation |
| Multi-level deep learning based lung cancer classifier for classification based on | tumour | -node-metastasis approach |
| Multi-level dilated convolutional neural network for brain | tumour | segmentation and multi-view-based radiomics for overall survival prediction |
| Multi-objective differential evolution-based ensemble method for brain | tumour | diagnosis |
| Multi-scale Colorectal | tumour | Segmentation Using a Novel Coarse to Fine Strategy |
| MultiFeNet: Multi-scale feature scaling in deep neural network for the brain | tumour | classification in MRI images |
| Performance analysis of state-of-the-art CNN architectures for brain | tumour | detection |
| Performance enhancement of image segmentation analysis for multi-grade | tumour | classification in MRI image |
| Quantitative metric for MR brain | tumour | grade classification using sample space density measure of analytic intrinsic mode function representation |
| Radiomic and Dosiomic Profiling of Paediatric Medulloblastoma | tumour | s Treated with Intensity Modulated Radiation Therapy |
| Region-based active surface modelling and alpha matting for unsupervised | tumour | segmentation in PET |
| Robust | tumour | tracking from 2D imaging using a population-based statistical motion model |
| System for Augmented Reality Guided Laparoscopic | tumour | Resection with Quantitative Ex-vivo User Evaluation, A |
| Three-dimensional | tumour | microenvironment reconstruction and tumour-immune interactions' analysis |
| Three-dimensional | tumour | microenvironment reconstruction and tumour-immune interactions' analysis |
| Threshold prediction for segmenting | tumour | from brain MRI scans |
| TransMVU: Multi-view 2D U-Nets with transformer for brain | tumour | segmentation |
| tumour | growth prediction of follow-up lung cancer via conditional recurrent variational autoencoder |
| tumour | localisation in ultrasound-guided high-intensity focused ultrasound ablation using improved gradient and direction vector flow |
| Unsupervised cluster-based method for segmenting biological | tumour | volume of laryngeal tumours in 18F-FDG-PET images |
| Unsupervised cluster-based method for segmenting biological | tumour | volume of laryngeal tumours in 18F-FDG-PET images |
| Walsh Hadamard kernel-based texture feature for multimodal MRI brain | tumour | segmentation |
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