Using green background for dermatological images to improve deep learning-based image classification.

Jiang, Zixi; Deng, Qian; Huang, Kai; Ding, Rui; Wu, Zheng; Huang, Weihong; Guo, Kehua; Zhao, Shuang

Jiang, Zixi; Deng, Qian; Huang, Kai; Ding, Rui; Wu, Zheng; Huang, Weihong; Guo, Kehua; Zhao, Shuang.

Afiliación

Jiang Z; Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Deng Q; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital, Central South University, Changsha, China.
Huang K; Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, China.
Ding R; Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China.
Wu Z; National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
Huang W; Xiangya School of Medicine, Central South University, Changsha, China.
Guo K; Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Zhao S; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital, Central South University, Changsha, China.

Arch Dermatol Res ; 316(1): 42, 2023 Dec 13.

Article en En | MEDLINE | ID: mdl-38091097

Asunto(s)

Aprendizaje Profundo; Humanos; Procesamiento de Imagen Asistido por Computador/métodos

Palabras clave

Artificial intelligence; Background color; Dermatological images

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Límite: Humans Idioma: En Revista: Arch Dermatol Res Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Alemania

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