Hair removal in dermoscopy images using variational autoencoders-Reference-Cited by-同舟云学术

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Hair removal in dermoscopy images using variational autoencoders

Published:2022-03-07 Issue:3 Volume:28 Page:445-454
ISSN:0909-752X
Container-title:Skin Research and Technology
language:en
Short-container-title:Skin Research and Technology

Author:

Bardou Dalal¹,Bouaziz Hamida²,Lv Laishui³,Zhang Ting³

Affiliation:

1. Department of Computer Science and Mathematics University of Abbes Laghrour Khenchela Algeria

2. Mécatronique Laboratory Department of Computer Science Jijel University Jijel Algeria

3. School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China

Publisher

Wiley

Subject

Dermatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/srt.13145

Reference53 articles.

1. Atlas of Skin Cancers

2. Malignant melanoma: prevention, early detection, and treatment in the 21st century

3. Clinical and prognostic factors for melanoma of the skin using SEER registries: Collaborative stage data collection system, version 1 and version 2

4. Vital signs: melanoma incidence and mortality trends and projections—United States, 1982–2030;Guy GP;Morb Mortal Wkly Rep,2015

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2. GAD-VAE: generative adversarial disentanglement with variational autoencoders for hair removal in dermoscopy images;Network Modeling Analysis in Health Informatics and Bioinformatics;2024-06-05

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