Interpretable Diagnosis for Whole-Slide Melanoma Histology Images Using Convolutional Neural Network.

Xie, Peizhen; Zuo, Ke; Liu, Jie; Chen, Mingliang; Zhao, Shuang; Kang, Wenjie; Li, Fangfang

Xie, Peizhen; Zuo, Ke; Liu, Jie; Chen, Mingliang; Zhao, Shuang; Kang, Wenjie; Li, Fangfang.

Afiliación

Xie P; National University of Defense Technology, Changsha 410073, China.
Zuo K; National University of Defense Technology, Changsha 410073, China.
Liu J; National University of Defense Technology, Changsha 410073, China.
Chen M; Department of Dermatology, Xiangya Hospital, Central South University, Changsha 410008, China.
Zhao S; Department of Dermatology, Xiangya Hospital, Central South University, Changsha 410008, China.
Kang W; Hunan Key Laboratory of Skin Cancer and Psoriasis, Changsha 410005, China.
Li F; Hunan Engineering Research Center of Skin Health and Disease, Changsha 410005, China.

J Healthc Eng ; 2021: 8396438, 2021.

Article en En | MEDLINE | ID: mdl-34760142

Asunto(s)

Melanoma; Redes Neurales de la Computación; Humanos; Melanoma/diagnóstico por imagen; Curva ROC

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Texto completo: 1 Colección: 01-internacional Asunto principal: Redes Neurales de la Computación / Melanoma Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Healthc Eng Año: 2021 Tipo del documento: Article País de afiliación: China

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