Assessment of Deep Convolutional Neural Network Models for the Classification of Benign Fibro‐Osseous Lesions of the Jaws

ABSTRACT Objectives Benign fibro‐osseous lesions (BFOL) constitute a group of pathologic entities with marked overlapping histopathologic features but are diverse in nature and clinical behaviors. Accurate diagnoses of BFOLs necessitate clinical‐pathological correlations, which are paramount for the...

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Главные авторы:	Paniti Achararit, Chawan Manaspon, Chavin Jongwannasiri, Kraisorn Sappayatosok, Thanaphum Osathanon, Ekarat Phattarataratip
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Wiley 2025-12-01
Серии:	Clinical and Experimental Dental Research
Предметы:	cemento‐osseous dysplasia cemento‐ossifying fibroma convolutional neural network deep learning diagnosis fibro‐osseous lesions
Online-ссылка:	https://doi.org/10.1002/cre2.70244
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