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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 361–370 of 640 papers

TitleStatusHype
Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network—0
SANet:Superpixel Attention Network for Skin Lesion Attributes Detection—0
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images—0
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI—0
SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints—0
SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation—0
Segmentation and ABCD rule extraction for skin tumors classification—0
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks—0
Segmentation Network with Compound Loss Function for Hydatidiform Mole Hydrops Lesion Recognition—0
Segmentation of Multiple Sclerosis lesion in brain MR images using Fuzzy C-Means—0
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