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.
🔥 Related Trending Topics
LIVE TRENDSThis video may be related to current global trending topics. Click any trend to explore more videos about what's hot right now!
THIS VIDEO IS TRENDING!
This video is currently trending in Hungary under the topic 'pandora a szelence átka'.
About this video
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)
Video Information
Views
599
Total views since publication
Likes
12
User likes and reactions
Duration
12:50
Video length
Published
Jun 15, 2021
Release date
Quality
hd
Video definition