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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 391–400 of 640 papers

TitleStatusHype
Skin Lesion Analysis Towards Melanoma Detection Using Deep Learning Network—0
Towards Automated Melanoma Detection with Deep Learning: Data Purification and Augmentation—0
Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features—0
Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features—0
Skin lesion segmentation and classification using deep learning and handcrafted features—0
Skin lesion segmentation based on preprocessing, thresholding and neural networks—0
Skin Lesion Segmentation: U-Nets versus Clustering—0
Skin Lesion Segmentation Using Atrous Convolution via DeepLab v3—0
Skin lesion segmentation using U-Net and good training strategies—0
SkinNet: A Deep Learning Framework for Skin Lesion Segmentation—0
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