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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 211–220 of 640 papers

TitleStatusHype
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images—0
A hybrid approach for improving U-Net variants in medical image segmentation—0
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation DatasetsCode1
FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy ClassificationCode1
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentationCode2
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient NetworkCode1
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion SegmentationCode1
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation DatasetsCode1
Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT—0
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
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