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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 41–50 of 640 papers

TitleStatusHype
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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