GAN-Driven Data Augmentation and Anonymization Techniques for Skin-Lesion Analysis: A Comprehensive Review
This review critically examines the application of Generative Adversarial Networks (GANs) for data augmentation and anonymization in skin-lesion analysis, highlighting recent advancements and challenges in the field.
ISIC Skin Image Analysis Workshops
599 views • Jun 15, 2021
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GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review. Alceu Bissoto (UNICAMP, Brazil); Eduardo A. do Valle Junior (UNICAMP, Brazil); Sandra Avila* (UNICAMP, Brazil)
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Views
599
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12
Duration
12:50
Published
Jun 15, 2021
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