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Lesion Segmentation

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

Papers

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Showing 151–175 of 640 papers

TitleStatusHype
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object SegmentationCode0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation—0
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object Segmentation with Zero-Shot MethodCode0
Modality-Independent Brain Lesion Segmentation with Privacy-aware Continual LearningCode0
Learning to segment anatomy and lesions from disparately labeled sources in brain MRI—0
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging—0
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation—0
Sustainable Deep Learning-Based Breast Lesion Segmentation: Impact of Breast Region Segmentation on Performance—0
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion SegmentationCode0
State-of-the-Art Stroke Lesion Segmentation at 1/1000th of Parameters—0
Interactive Segmentation and Report Generation for CT Images—0
ScaleFusionNet: Transformer-Guided Multi-Scale Feature Fusion for Skin Lesion SegmentationCode0
GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion AnalysisCode0
Clinical Inspired MRI Lesion Segmentation—0
EyeBench: A Call for More Rigorous Evaluation of Retinal Image EnhancementCode0
Universal Lesion Segmentation Challenge 2023: A Comparative Research of Different AlgorithmsCode0
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images—0
Multimodal HIE Lesion Segmentation in Neonates: A Comparative Study of Loss Functions—0
Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation—0
Generalizable automated ischaemic stroke lesion segmentation with vision transformers—0
Quasi-Conformal Convolution : A Learnable Convolution for Deep Learning on Riemann Surfaces—0
From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures—0
Stroke Lesion Segmentation using Multi-Stage Cross-Scale AttentionCode0
Unified 3D MRI Representations via Sequence-Invariant Contrastive LearningCode0
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