Widening the scope of artificial intelligence applications in dermatology
Author:
Affiliation:
1. Department of Dermatology, Oxford University Hospitals NHS Foundation Trust , Oxford , UK
2. University of Oxford , Oxford , UK
Publisher
Oxford University Press (OUP)
Link
https://academic.oup.com/ced/advance-article-pdf/doi/10.1093/ced/llae174/57908084/llae174.pdf
Reference26 articles.
1. Classifying real-world macroscopic images in the primary–secondary care interface using transfer learning: implications for development of artificial intelligence solutions using nondermoscopic images;Carse;Clin Exp Dermatol,2024
2. From data to diagnosis: skin cancer image datasets for artificial intelligence;Wen;Clin Exp Dermatol,2024
3. Digital pathology: transforming diagnosis in the digital age;Kiran;Cureus,2023
4. Artificial intelligence for automatic detection of basal cell carcinoma from frozen tissue tangential biopsies;Murphree;Clin Exp Dermatol,2024
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