Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57654, first published .
Correction: A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study

Correction: A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study

Correction: A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study

Zhixiang Zhao   1, 2 * , MD, PhD ;   Che-Ming Wu   3 * , MEng ;   Shuping Zhang   1, 2 , MD, PhD ;   Fanping He   1, 2 , MD, PhD ;   Fangfen Liu   1, 2 , MD, PhD ;   Ben Wang   1, 2 , MD, PhD ;   Yingxue Huang   1, 2 , MD, PhD ;   Wei Shi   1, 2 , MD, PhD ;   Dan Jian   1, 2 , MD, PhD ;   Hongfu Xie   1, 2 , MD, PhD ;   Chao-Yuan Yeh   3 * , MD ;   Ji Li   1, 2, 4, 5 * , MD, PhD

1 Department of Dermatology, Xiangya Hospital of Central South University, Changsha, China

2 Hunan Key Laboratory of Aging Biology, Xiangya Hospital of Central South University, Changsha, China

3 aetherAI, Co Ltd, Taipei, Taiwan, China

4 National Clinical Research Center for Geriatric Disorders, Xiangya Hospital of Central South University, Changsha, China

5 Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, China

*these authors contributed equally

Corresponding Author:

  • Ji Li, MD, PhD
  • Department of Dermatology
  • Xiangya Hospital of Central South University
  • 87 Xiangya Rd.
  • Changsha, 410008
  • China
  • Phone: 86 073189753406
  • Email: liji_xy@csu.edu.cn