Bursting the bubble on diagnostics: artificial intelligence in autoimmune bullous disease
Author:
Affiliation:
1. St John’s Institute of Dermatology, School of Basic and Medical Biosciences, King’s College London , London , UK
2. St John’s Institute of Dermatology, Guy’s and St Thomas’ Hospital , London , UK
Publisher
Oxford University Press (OUP)
Link
https://academic.oup.com/bjd/advance-article-pdf/doi/10.1093/bjd/ljae197/58102572/ljae197.pdf
Reference8 articles.
1. Diagnosis of autoimmune bullous diseases;van Beek;J Dtsch Dermatol Ges,2018
2. Practical direct immunofluorescence;Kim;Am J Dermatopathol,2020
3. Artificial intelligence in dermatology: a primer;Young;J Invest Dermatol,2020
4. A deep learning approach to direct immunofluorescence pattern recognition in autoimmune bullous diseases;Capurro;Br J Dermatol,2024
5. Toward foundational deep learning models for medical imaging in the new era of transformer networks;Willemink;Radiol Artif Intell,2022
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