This paper is in the following e-collection/theme issue:

Machine Learning (1401) New Methods (911) Artificial Intelligence (1216) Imaging Informatics (187) Digital Photography and Imaging in Dermatology (31) Decision Support for Health Professionals (1147)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23415, first published .
A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study

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

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

Authors of this article:

Zhixiang Zhao1, 2 Author Orcid Image ;   Che-Ming Wu3 Author Orcid Image ;   Shuping Zhang1, 2 Author Orcid Image ;   Fanping He1, 2 Author Orcid Image ;   Fangfen Liu1, 2 Author Orcid Image ;   Ben Wang1, 2 Author Orcid Image ;   Yingxue Huang1, 2 Author Orcid Image ;   Wei Shi1, 2 Author Orcid Image ;   Dan Jian1, 2 Author Orcid Image ;   Hongfu Xie1, 2 Author Orcid Image ;   Chao-Yuan Yeh3 Author Orcid Image ;   Ji Li1, 2, 4, 5 Author Orcid Image
Article Authors Cited by (24) Tweetations (1) Metrics

Journals

  1. Kassem M, Hosny K, Damaševičius R, Eltoukhy M. Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review. Diagnostics 2021;11(8):1390 View
  2. Ge L, Li Y, Wu Y, Fan Z, Song Z. Differential Diagnosis of Rosacea Using Machine Learning and Dermoscopy. Clinical, Cosmetic and Investigational Dermatology 2022;Volume 15:1465 View
  3. Mohanty A, Sutherland A, Bezbradica M, Javidnia H. Skin Disease Analysis With Limited Data in Particular Rosacea: A Review and Recommended Framework. IEEE Access 2022;10:39045 View
  4. Peyret R, alSaeed D, Khelifi F, Al-Ghreimil N, Al-Baity H, Bouridane A. Convolutional Neural Network–Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study. JMIR Bioinformatics and Biotechnology 2022;3(1):e27394 View
  5. Huang Y, He J, Zhang S, Tang Y, Wang B, Jian D, Xie H, Li J, Chen F, Zhao Z. A novel multi-layer perceptron model for assessing the diagnostic value of non-invasive imaging instruments for rosacea. PeerJ 2022;10:e13917 View
  6. Yang Y, Wang J, Xie F, Liu J, Shu C, Wang Y, Zheng Y, Zhang H. A convolutional neural network trained with dermoscopic images of psoriasis performed on par with 230 dermatologists. Computers in Biology and Medicine 2021;139:104924 View
  7. Patcas R, Bornstein M, Schätzle M, Timofte R. Artificial intelligence in medico-dental diagnostics of the face: a narrative review of opportunities and challenges. Clinical Oral Investigations 2022;26(12):6871 View
  8. Liu L, Liang C, Xue Y, Chen T, Chen Y, Lan Y, Wen J, Shao X, Chen J. An Intelligent Diagnostic Model for Melasma Based on Deep Learning and Multimode Image Input. Dermatology and Therapy 2023;13(2):569 View
  9. Rezk E, Eltorki M, El-Dakhakhni W. Improving Skin Color Diversity in Cancer Detection: Deep Learning Approach. JMIR Dermatology 2022;5(3):e39143 View
  10. Park S, Chien A, Lin B, Li K. FACES: A Deep-Learning-Based Parametric Model to Improve Rosacea Diagnoses. Applied Sciences 2023;13(2):970 View
  11. Jeong H, Park C, Henao R, Kheterpal M. Deep Learning in Dermatology: A Systematic Review of Current Approaches, Outcomes, and Limitations. JID Innovations 2023;3(1):100150 View
  12. Ukharov A, Shlivko I, Klemenova I, Garanina O, Uskova K, Mironycheva A, Stepanova Y. Skin cancer risk self-assessment using AI as a mass screening tool. Informatics in Medicine Unlocked 2023;38:101223 View
  13. Sharma N, Mangla M, Iqbal M, Mohanty S. Deep Learning Framework for Identification of Skin Lesions. EAI Endorsed Transactions on Pervasive Health and Technology 2023;9 View
  14. Ye S, Chen M. The emerging role of Artificial Intelligence in diagnosis and clinical analysis of dermatology. Dermatologica Sinica 2023;41(3):145 View
  15. Mohanty A, Sutherland A, Bezbradica M, Javidnia H. High-Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited Data. Electronics 2024;13(2):395 View
  16. Sankar A, Chaturvedi K, Nayan A, Hesamian M, Braytee A, Prasad M. Utilizing Generative Adversarial Networks for Acne Dataset Generation in Dermatology. BioMedInformatics 2024;4(2):1059 View
  17. Li Pomi F, Papa V, Borgia F, Vaccaro M, Pioggia G, Gangemi S. Artificial Intelligence: A Snapshot of Its Application in Chronic Inflammatory and Autoimmune Skin Diseases. Life 2024;14(4):516 View
  18. Zhu W, Lai H, Zhang H, Zhang G, Luo Y, Wang J, Sun L, Lu J, Wang S, Xiang Y. Abscissa-Ordinate Focused Network for Psoriasis and Eczema Healthcare Cyber-Physical System With Active Label Smoothing. IEEE Access 2024;12:54953 View

Books/Policy Documents

  1. Fernandez K, Young A, Bhattarcharya A, Kusari A, Wei M. Teledermatology. View