A deep learning approach to direct immunofluorescence pattern recognition in autoimmune bullous diseases.

Niccolò Capurro Vito Paolo PastoreLarbi TouijerFrancesca OdoneEmanuele CozzaniGiulia GaspariniAurora Parodi

Published in: The British journal of dermatology (2024)

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

Keyphrases

deep learning
adverse drug
machine learning
artificial intelligence
multiple sclerosis
big data
convolutional neural network
high throughput
antiretroviral therapy