Keratinocytic Skin Cancer Detection on the Face Using Region-Based Convolutional Neural Network-Reference-Cited by-同舟云学术

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Keratinocytic Skin Cancer Detection on the Face Using Region-Based Convolutional Neural Network

Published:2020-01-01 Issue:1 Volume:156 Page:29
ISSN:2168-6068
Container-title:JAMA Dermatology
language:en
Short-container-title:JAMA Dermatol

Author:

Han Seung Seog¹,Moon Ik Jun²,Lim Woohyung³,Suh In Suck⁴,Lee Sam Yong⁵,Na Jung-Im⁶,Kim Seong Hwan⁴,Chang Sung Eun⁷

Affiliation:

1. I Dermatology Clinic, Seoul, Korea

2. Department of Dermatology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea

3. LG Sciencepark, Seoul, Korea

4. Department of Plastic and Reconstructive Surgery, Kangnam Sacred Hospital, Hallym University College of Medicine, Seoul, Korea

5. Department of Plastic and Reconstructive Surgery, Chonnam National University Medical School, Gwangju, Korea

6. Department of Dermatology, Seoul National University Bundang Hospital, Seongnam, Korea

7. Department of Dermatology, Asan Medical Center, Ulsan University College of Medicine, Seoul, Korea

Publisher

American Medical Association (AMA)

Subject

Dermatology

Link

https://jamanetwork.com/journals/jamadermatology/articlepdf/2756346/jamadermatology_han_2019_oi_190066.pdf

Reference35 articles.

1. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs.;Gulshan;JAMA,2016

2. Dermatologist-level classification of skin cancer with deep neural networks.;Esteva;Nature,2017

3. Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists.;Haenssle;Ann Oncol,2018

4. Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study.;Chilamkurthy;Lancet,2018

5. Deep-learning–based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumour diagnosis.;Fujisawa;Br J Dermatol,2019

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