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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 491–500 of 640 papers

TitleStatusHype
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentationCode0
Mask Mining for Improved Liver Lesion Segmentation—0
Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features—0
Automatic acute ischemic stroke lesion segmentation using semi-supervised learning—0
Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT—0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image SegmentationCode0
Predicting Clinical Outcome of Stroke Patients with Tractographic FeatureCode0
Exploiting bilateral symmetry in brain lesion segmentation—0
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range DependenciesCode0
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic StrokeCode0
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