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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 261–270 of 640 papers

TitleStatusHype
DSNet: a simple yet efficient network with dual-stream attention for lesion segmentation—0
Boosting COVID-19 Severity Detection with Infection-aware Contrastive Mixup Classification—0
MAPPING: Model Average with Post-processing for Stroke Lesion SegmentationCode1
ESKNet-An enhanced adaptive selection kernel convolution for breast tumors segmentationCode1
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion SegmentationCode1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias—0
U-Net-based Models for Skin Lesion Segmentation: More Attention and AugmentationCode1
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture—0
Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?Code0
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