Deep learning applied to the histopathological diagnosis of ameloblastomas and ameloblastic carcinomas.

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Bibliographic Details
Title: Deep learning applied to the histopathological diagnosis of ameloblastomas and ameloblastic carcinomas.
Authors: Giraldo-Roldan D; Department of Oral Diagnosis, Piracicaba Dental School, State University of Campinas, Piracicaba, Brazil., Ribeiro ECC; Institute of Science and Technology, Federal University of São Paulo (ICT-Unifesp), São José dos Campos, Brazil., Araújo ALD; Head and Neck Surgery Department, University of São Paulo Medical School, São Paulo, Brazil., Penafort PVM; Department of Oral Diagnosis, Piracicaba Dental School, State University of Campinas, Piracicaba, Brazil., Silva VMD; Institute of Science and Technology, Federal University of São Paulo (ICT-Unifesp), São José dos Campos, Brazil., Câmara J; Department of Pathology and Legal Medicine, School of Medicine, Federal University of Amazon, Manaus, Brazil., Pontes HAR; Oral Pathology, João de Barros Barreto University Hospital, Federal University of Pará, Belem, Brazil., Martins MD; Department of Oral Pathology, School of Dentistry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil., Oliveira MC; Department of Health, State University of Feira de Santana (UEFS), Feira de Santana, Brazil., Santos-Silva AR; Department of Oral Diagnosis, Piracicaba Dental School, State University of Campinas, Piracicaba, Brazil., Lopes MA; Department of Oral Diagnosis, Piracicaba Dental School, State University of Campinas, Piracicaba, Brazil., Kowalski LP; Head and Neck Surgery Department, University of São Paulo Medical School, São Paulo, Brazil., Moraes MC; Institute of Science and Technology, Federal University of São Paulo (ICT-Unifesp), São José dos Campos, Brazil., Vargas PA; Department of Oral Diagnosis, Piracicaba Dental School, State University of Campinas, Piracicaba, Brazil.
Source: Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology [J Oral Pathol Med] 2023 Nov; Vol. 52 (10), pp. 988-995. Date of Electronic Publication: 2023 Sep 15.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-Blackwell Country of Publication: Denmark NLM ID: 8911934 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1600-0714 (Electronic) Linking ISSN: 09042512 NLM ISO Abbreviation: J Oral Pathol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1600-0714
DOI:10.1111/jop.13481