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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 561–570 of 640 papers

TitleStatusHype
Lesion segmentation using U-Net network—0
Deep attention-guided fusion network for lesion segmentation—0
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation—0
ISIC 2018-A Method for Lesion Segmentation—0
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement—0
Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features—0
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional NetworksCode0
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation—0
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy ImagesCode0
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST—0
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