A deep learning, image based approach for automated diagnosis for inflammatory skin diseases | Zendy

Haijing Wu | Zendy; Heng Yin | Zendy; Haipeng Chen | Zendy; Moyuan Sun | Zendy; Xiaoqing Liu | Zendy; Yizhou Yu | Zendy; Yang Tang | Zendy; Hai Long | Zendy; Bo Zhang | Zendy; Jing Zhang | Zendy; Ying Zhou | Zendy; Yaping Li | Zendy; Guiyuing Zhang | Zendy; Peng Zhang | Zendy; Yi Zhan | Zendy; Jieyue Liao | Zendy; Shuaihantian Luo | Zendy; Rong Xiao | Zendy; YuWen Su | Zendy; Juanjuan Zhao | Zendy; Fei Wang | Zendy; Wei Zhang | Zendy; Jin Zhang | Zendy; Qianjin Lu | Zendy

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A deep learning, image based approach for automated diagnosis for inflammatory skin diseases

Author(s) -

Haijing Wu,

Heng Yin,

Haipeng Chen,

Moyuan Sun,

Xiaoqing Liu,

Yizhou Yu,

Yang Tang,

Hai Long,

Bo Zhang,

Jing Zhang,

Ying Zhou,

Yaping Li,

Guiyuing Zhang,

Peng Zhang,

Yi Zhan,

Jieyue Liao,

Shuaihantian Luo,

Rong Xiao,

YuWen Su,

Juanjuan Zhao,

Fei Wang,

Wei Zhang,

Jin Zhang,

Qianjin Lu

Publication year - 2020

Publication title -

annals of translational medicine

Language(s) - English

Resource type - Journals

eISSN - 2305-5847

pISSN - 2305-5839

DOI - 10.21037/atm.2020.04.39

Subject(s) - convolutional neural network , medicine , deep learning , clinical practice , atopic dermatitis , artificial intelligence , dermatology , diagnostic accuracy , psoriasis , machine learning , radiology , computer science , family medicine

AIDDA is thus already achieving an impact in the diagnosis of inflammatory skin diseases, highlighting how deep learning network tools can help advance clinical practice.

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