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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 111–120 of 640 papers

TitleStatusHype
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality ExpertsCode1
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT ScansCode1
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT ImagesCode1
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion ApproachCode1
Road Extraction by Deep Residual U-NetCode1
Rotation-Equivariant Deep Learning for Diffusion MRICode1
ESKNet-An enhanced adaptive selection kernel convolution for breast tumors segmentationCode1
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image SegmentationCode1
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image SegmentationCode1
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation DatasetsCode1
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