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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 461–470 of 640 papers

TitleStatusHype
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image SegmentationCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion SegmentationCode1
Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation—0
Automatic lesion segmentation and Pathological Myopia classification in fundus images—0
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data—0
4D Deep Learning for Multiple-Sclerosis Lesion Activity Segmentation—0
Automatic segmentation of stroke lesions in non-contrast computed tomography with convolutional neural networks—0
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns—0
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