Author Correction: Prediction of skin disease using a new cytological taxonomy based on cytology and pathology with deep residual learning method

Affiliations

• ¹ Hospital for Skin Disease (Institute of Dermatology), Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, Jiangsu, China. dr.jinbu@gmail.com.
• ² Guangzhou South China Biomedical Research Institute, Co., Ltd, Guangzhou, 510275, Guangdong, China.
• ³ Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541002, Guangxi, China.
• ⁴ School of Agriculture, Sun Yat-Sen University, Guangzhou, 510275, Guangdong, China.
• ⁵ Xinhua College of Sun Yat-Sen University, Guangzhou, 510520, Guangdong, China.
• ⁶ School of Electronics and Information Technology (School of Microelectronics), Sun Yat-Sen University, Guangzhou, 510006, Guangdong, China. huhaif@mail.sysu.edu.cn.
• ⁷ Sino-French Hoffmann Institute, School of Basic Sciences, The Second Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Allergy & Clinical Immunology, Guangzhou Medical University, Guangzhou, 511436, Guangdong, China. erxia_shen@gzhmu.edu.cn.
• ⁸ The State Key Laboratory of Respiratory Disease, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510182, Guangdong, China. erxia_shen@gzhmu.edu.cn.