Artificial intelligence-based differential diagnosis of orbital MALT lymphoma and IgG4 related ophthalmic disease using hematoxylin-eosin images.

Mizuki TagamiMizuho NishioAtsuko YoshikawaNorihiko MisawaAtsushi SakaiYusuke HarunaMami TomitaAtsushi AzumiShigeru Honda

Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2024)

It was possible to construct an AI software based on deep learning that was able to distinguish between IgG4-ROD and orbital MALT. This AI model may be useful as an initial screening tool to direct further ancillary investigations.

Keyphrases

artificial intelligence
deep learning
big data
convolutional neural network
machine learning
diffuse large b cell lymphoma
data analysis