Ros‐NET: A deep convolutional neural network for automatic identification of rosacea lesions-Reference-Cited by-同舟云学术

Ros‐NET: A deep convolutional neural network for automatic identification of rosacea lesions

Published:2019-12-17 Issue:3 Volume:26 Page:413-421
ISSN:0909-752X
Container-title:Skin Research and Technology
language:en
Short-container-title:Skin Res Technol

Author:

Binol Hamidullah¹^ORCID,Plotner Alisha²,Sopkovich Jennifer²,Kaffenberger Benjamin²^ORCID,Niazi Muhammad Khalid Khan¹^ORCID,Gurcan Metin N.¹^ORCID

Affiliation:

1. Center for Biomedical Informatics Wake Forest School of Medicine Winston‐Salem NC USA

2. Department of Dermatology The Ohio State University Columbus OH USA

Funder

National Rosacea Society

Publisher

Wiley

Subject

Dermatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/srt.12817

Reference41 articles.

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3. Rosacea

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5. RamliR MalikAS HaniAFM JamiA.Segmentation of acne vulgaris lesions. in 2011 International Conference on Digital Image Computing: Techniques and Applications.2011. IEEE.

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