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

CONCLUSIONS: 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.PMID:38581445 | DOI:10.1093/bjd/ljae142
Source: The British Journal of Dermatology - Category: Dermatology Authors: Source Type: research