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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 231–240 of 640 papers

TitleStatusHype
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation—0
Unsupervised Brain Tumor Segmentation with Image-based Prompts—0
MultiTalent: A Multi-Dataset Approach to Medical Image SegmentationCode1
SSL^2: Self-Supervised Learning meets Semi-Supervised Learning: Multiple Sclerosis Segmentation in 7T-MRI from large-scale 3T-MRI—0
Deep Learning Based Dominant Index Lesion Segmentation for MR-guided Radiation Therapy of Prostate Cancer—0
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion SegmentationCode0
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training—0
Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation—0
3D PETCT Tumor Lesion Segmentation via GCN Refinement—0
Patch Network for medical image Segmentation—0
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