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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 26–50 of 640 papers

TitleStatusHype
State-of-the-Art Stroke Lesion Segmentation at 1/1000th of Parameters—0
ScaleFusionNet: Transformer-Guided Multi-Scale Feature Fusion for Skin Lesion SegmentationCode0
Interactive Segmentation and Report Generation for CT Images—0
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
Multimodal HIE Lesion Segmentation in Neonates: A Comparative Study of Loss Functions—0
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images—0
Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation—0
A Data-Efficient Pan-Tumor Foundation Model for Oncology CT InterpretationCode1
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
Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging—0
Automated external cervical resorption segmentation in cone-beam CT using local texture features—0
Image Segmentation: Inducing graph-based learningCode0
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation—0
LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body ImagingCode2
Unified Medical Lesion Segmentation via Self-referring Indicator—0
CSC-PA: Cross-image Semantic Correlation via Prototype Attentions for Single-network Semi-supervised Breast Tumor SegmentationCode1
HCMA-UNet: A Hybrid CNN-Mamba UNet with Axial Self-Attention for Efficient Breast Cancer SegmentationCode1
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation—0
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