Unsupervised Feature Elimination via Generative Adversarial Networks: Application to Hair Removal in Melanoma Classification

Unsupervised Feature Elimination via Generative Adversarial Networks: Application to Hair Removal in Melanoma Classification

Eliminating the undesirable features is crucial to computer vision applications since undesirable features degrade the visibility of images. For that purpose, denoising, dehazing and deraining have been actively studied in both traditional model-based approaches and modern deep learning methods. How...

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Bibliographic Details
Main Authors: Dahye Kim, Byung-Woo Hong
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning application
dermoscopy
generative adversarial networks
hair removal
medical imaging
skin lesion classification
Online Access:https://ieeexplore.ieee.org/document/9376855/

Internet

https://ieeexplore.ieee.org/document/9376855/

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