Deep learning for inflammatory diseases classification based on reflectance confocal microscopy - 14/04/23
Doi : 10.1016/j.jaad.2022.09.043
Li Wan, MM a, b, c, Jinbo Chen, MD, PhD a, b, Hao Wu, PhD d, Fei Su, MD a, b, Qian Jiang, PhD a, b, Ling Ma, MM a, Hongying Chen, MM a, Zhenghong Peng, PhD d, Zhihao Sun, PhD d, Lingbo Liu, PhD d, ⁎ 
, Liuqing Chen, MD a, b, ⁎
, Liuqing Chen, MD a, b, ⁎ a Department of Dermatology, Wuhan No. 1 Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
b Hubei Province & Key Laboratory of Skin Infection And Immunity, Wuhan, China
c Dermatology Hospital of Southern Medical University, Guangzhou, China
d School of Urban Design, Wuhan University, Wuhan, China
∗Correspondence and reprint requests to: Liuqing Chen, MD, Department of Dermatology, Wuhan No. 1 Hospital, Wuhan 430022, China, Hubei Province & Key Laboratory of Skin Infection And Immunity, No.215, Zhongshan Ave, Wuhan 430022, ChinaDepartment of DermatologyWuhan No. 1 Hospital, Wuhan 430022, ChinaHubei Province & Key Laboratory of Skin Infection And ImmunityNo.215, Zhongshan AveWuhan430022China∗∗Lingbo Liu, PhD, School of Urban Design, Wuhan University, Wuhan, ChinaSchool of Urban DesignWuhan UniversityWuhanChina
Key words : deep learning, inflammatory diseases, interface dermatitis, reflectance confocal microscopy
Il testo completo di questo articolo è disponibile in PDF.
| Drs Wan and Chen contributed equally to this article. |
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| Funding sources: Wuhan Medical Scientific Research Project (WX20B25), Science and Technology Planning Project of Wuhan (2019010701011418), and 2018 Milstein Medical Asian American Partnership Foundation Research Project Award in Dermatology, Health Commission of Hubei Province Scientific Research Project (WJ2021M002). |
|
| IRB approval status: ▪▪▪. |
|
| Patient consent: Consent for the publication of all patient photographs and medical information was provided by the authors at the time of article submission to the journal stating that all patients gave consent for their photographs and medical information to be published in print and online and with the understanding that this information may be publicly available. |
© 2022
American Academy of Dermatology, Inc.. Pubblicato da Elsevier Masson SAS. Tutti i diritti riservati.
Vol 88 - N° 5
P. e283-e284 - maggio 2023 Ritorno al numero
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