AI based classification of odontogenic cysts using digital micrographs
Автор: DentalAI
Загружено: 2026-01-16
Просмотров: 1
The researchers developed and evaluated a set of quantitative image features to automatically distinguish between four types of developmental odontogenic cysts (dentigerous, odontogenic keratocyst, lateral periodontal, and glandular) in H&E stained digital micrographs. Using support vector machine (SVM) and bagging with logistic regression (BLR) classifiers, the system achieved classification accuracy rates between 83.8% and 95.4%. The study serves as a proof-of-principle that quantitative features of cyst epithelia can be used for accurate diagnostic classification.
DOI:
https://doi.org/10.1016/j.oooo.2022.1...
Website:
https://www.dentalai.pt/en
Blog:
https://www.dentalai.pt/en/blog/ai-ba...
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке:
