Expert-Level Distinction of Systemic Sclerosis from Hand Photographs Using Deep Convolutional Neural Networks
J Invest Dermatol
.
2021 Oct;141(10):2536-2539.
doi: 10.1016/j.jid.2021.03.020.
Epub 2021 Apr 7.
Authors
Yuta Norimatsu
1
,
Ayumi Yoshizaki
2
,
Yoshinori Kabeya
3
,
Takemichi Fukasawa
1
,
Jun Omatsu
1
,
Maiko Fukayama
1
,
Ai Kuzumi
1
,
Satoshi Ebata
1
,
Asako Yoshizaki-Ogawa
1
,
Yoshihide Asano
1
,
Haruka Ichimura
4
,
Sho Yonezawa
3
,
Hiroki Nakano
3
,
Shinichi Sato
1
Affiliations
1
Department of Dermatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
2
Department of Dermatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. Electronic address: ayuyoshi@me.com.
3
IBM Japan Ltd, Tokyo, Japan.
4
FULL KAITEN, Inc., Tokyo, Japan.
PMID:
33836180
DOI:
10.1016/j.jid.2021.03.020
No abstract available
Publication types
Letter
Research Support, Non-U.S. Gov't
MeSH terms
Adult
Female
Hand
Humans
Male
Middle Aged
Neural Networks, Computer*
Photography*
Scleroderma, Systemic / diagnosis*