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...

Descripció completa

Dades bibliogràfiques

Autors principals:	Paniti Achararit, Chawan Manaspon, Chavin Jongwannasiri, Kraisorn Sappayatosok, Thanaphum Osathanon, Ekarat Phattarataratip
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2025-12-01
Col·lecció:	Clinical and Experimental Dental Research
Matèries:	cemento‐osseous dysplasia cemento‐ossifying fibroma convolutional neural network deep learning diagnosis fibro‐osseous lesions
Accés en línia:	https://doi.org/10.1002/cre2.70244
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!