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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 626–650 of 786 papers

TitleStatusHype
Vox2Vox: 3D-GAN for Brain Tumour SegmentationCode1
Brain tumor segmentation with missing modalities via latent multi-source correlation representation—0
Synthesize then Compare: Detecting Failures and Anomalies for Semantic SegmentationCode1
Segmentation of brain tumor on magnetic resonance imaging using a convolutional architecture—0
DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation—0
A Bayesian approach to tissue-fraction estimation for oncological PET segmentation—0
Region of Interest Identification for Brain Tumors in Magnetic Resonance Images—0
Technical report: Kidney tumor segmentation using a 2D U-Net followed by a statistical post-processing filter—0
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation—0
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated FusionCode1
Knowledge Distillation for Brain Tumor SegmentationCode1
Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales—0
Stan: Small tumor-aware network for breast ultrasound image segmentationCode1
Distributionally Robust Deep Learning using Hardness Weighted SamplingCode0
Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIsCode1
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and AnalysisCode1
Transfer Learning for Brain Tumor Segmentation—0
Robustness of Brain Tumor Segmentation—0
Domain Knowledge Based Brain Tumor Segmentation and Overall Survival PredictionCode0
Multimodal Self-Supervised Learning for Medical Image Analysis—0
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 ChallengeCode1
Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival Prediction—0
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation ProblemCode0
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation—0
Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database—0
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