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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 141–150 of 640 papers

TitleStatusHype
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic SegmentationCode1
ProMISe: Promptable Medical Image Segmentation using SAMCode1
Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation—0
wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7TCode1
Is Two-shot All You Need? A Label-efficient Approach for Video Segmentation in Breast Ultrasound—0
3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention—0
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label PairsCode1
Vivim: a Video Vision Mamba for Medical Video SegmentationCode2
Slicer Networks—0
Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessmentCode0
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