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Jiang Z, Deng Q, Huang K, Ding R, Wu Z, Huang W, Guo K, Zhao S. Using green background for dermatological images to improve deep learning-based image classification. Arch Dermatol Res 2023; 316:42. [PMID: 38091097 DOI: 10.1007/s00403-023-02734-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/13/2023] [Accepted: 09/16/2023] [Indexed: 12/18/2023]
Affiliation(s)
- Zixi Jiang
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Qian Deng
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Kai Huang
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Rui Ding
- School of Computer Science and Engineering, Central South University, Changsha, China
| | - Zheng Wu
- School of Computer Science and Engineering, Central South University, Changsha, China
| | - Weihong Huang
- Mobile Health Ministry of Education - China Mobile Joint Laboratory, Xiangya Hospital Central South University, Changsha, China
| | - Kehua Guo
- School of Computer Science and Engineering, Central South University, Changsha, China.
| | - Shuang Zhao
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital, Central South University, Changsha, China.
- Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, China.
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China.
- National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
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