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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 101–110 of 640 papers

TitleStatusHype
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion SegmentationCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
MultiTalent: A Multi-Dataset Approach to Medical Image SegmentationCode1
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
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