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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 171–180 of 640 papers

TitleStatusHype
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
Unified Medical Lesion Segmentation via Self-referring Indicator—0
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