Augmenting data with GANs to segment melanoma skin lesions
Augmenting data with GANs to segment melanoma skin lesions
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
This paper presents a novel strategy that employs Generative Adversarial Networks (GANs) to augment data in the skin lesion segmentation task, which is a fundamental first step in the automated melanoma detection process. The proposed framework generates both skin lesion images and their segmentation masks, making the data augmentation process extr...
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Full title
Augmenting data with GANs to segment melanoma skin lesions
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Author / Creator
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TN_cdi_proquest_journals_2226909614
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2226909614
Other Identifiers
ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-019-7717-y
