SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–650 of 786 papers

TitleStatusHype
E^2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans—0
PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentationCode1
Deep Learning Based Brain Tumor Segmentation: A SurveyCode1
CANet: Context Aware Network for 3D Brain Glioma SegmentationCode1
Multi-Domain Image Completion for Random Missing Input Data—0
Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNetCode1
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional NetworksCode0
DSU-net: Dense SegU-net for automatic head-and-neck tumor segmentation in MR images—0
3D Self-Supervised Methods for Medical ImagingCode1
Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet—0
A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction—0
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation ProblemsCode0
Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance ImagingCode1
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation—0
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation—0
Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image SynthesisCode1
DeepSeg: Deep Neural Network Framework for Automatic Brain Tumor Segmentation using Magnetic Resonance FLAIR ImagesCode1
Joint Liver Lesion Segmentation and Classification via Transfer Learning—0
Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor SegmentationCode1
Decentralized Differentially Private Segmentation with PATE—0
Weakly supervised multiple instance learning histopathological tumor segmentationCode1
Arbitrary Scale Super-Resolution for Brain MRI ImagesCode0
Attention-Guided Version of 2D UNet for Automatic Brain Tumor SegmentationCode1
Volumetric Attention for 3D Medical Image Segmentation and Detection—0
Deep Learning-Based Concurrent Brain Registration and Tumor SegmentationCode1
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
Show:102550
← PrevPage 13 of 16Next →

No leaderboard results yet.