A deep learning approach for Direct Immunofluorescence pattern recognition of Autoimmune Bullous Diseases.

Niccolò Capurro Vito Paolo PastoreLarbi TouijerFrancesca OdoneEmanuele CozzaniGiulia GaspariniAurora Parodi

Published in: The British journal of dermatology (2024)

The study highlighted CNN's accuracy in identifying DIF features. This approach aids automated analysis and reporting, offering reproducibility, speed, data handling, and cost-efficiency. Integrating deep learning in skin immunofluorescence promises precise diagnostics and streamlined reporting in this branch of dermatology.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
adverse drug
big data
multiple sclerosis
soft tissue
emergency department
high throughput
antiretroviral therapy
single cell