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Tumor Segmentation

Tumor Segmentation is the task of identifying the spatial location of a tumor. It is a pixel-level prediction where each pixel is classified as a tumor or background. The most popular benchmark for this task is the BraTS dataset. The models are typically evaluated with the Dice Score metric.

Papers

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Showing 601–625 of 786 papers

TitleStatusHype
Targeted Neural Architectures in Multi-Objective Frameworks for Complete Glioma Characterization from Multimodal MRI—0
Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation—0
Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing—0
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation—0
Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs—0
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation—0
Region of Interest Identification for Brain Tumors in Magnetic Resonance Images—0
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint—0
Relevance analysis of MRI sequences for automatic liver tumor segmentation—0
Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net—0
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation—0
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing—0
Whole-body tumor segmentation of 18F -FDG PET/CT using a cascaded and ensembled convolutional neural networks—0
An Exceptional Dataset For Rare Pancreatic Tumor Segmentation—0
RobU-Net: a heuristic robust multi-class brain tumor segmentation approaches for MRI scans—0
Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet—0
Robustifying deep networks for image segmentation—0
Robust Learning Protocol for Federated Tumor Segmentation Challenge—0
A Bayesian approach to tissue-fraction estimation for oncological PET segmentation—0
Robustness of Brain Tumor Segmentation—0
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans—0
An Ensemble Approach for Brain Tumor Segmentation and Synthesis—0
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks—0
Unified HT-CNNs Architecture: Transfer Learning for Segmenting Diverse Brain Tumors in MRI from Gliomas to Pediatric Tumors—0
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation—0
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