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The whole\u2010slide images were annotated and fragmented into 743\u2009869 (carcinoma ex\u2010pleomorphic adenomas) and 211\u2009714 (pleomorphic adenomas) patches, measuring 224\u2009\u00d7\u2009224 pixels. Training (80%), validation (10%), and test (10%) subsets were established. The Residual Neural Network (ResNet)\u201050 was chosen for its recognition and classification capabilities. The training and validation graphs, and parameters derived from the confusion matrix, were evaluated. The loss curve recorded 0.63, and the accuracy reached 0.93. Evaluated parameters included specificity (0.88), sensitivity (0.94), precision (0.96), F1 score (0.95), and area under the curve (0.97).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The study underscores the potential of ResNet\u201050 in the microscopic diagnosis of carcinoma ex\u2010pleomorphic adenoma. The developed model demonstrated strong learning potential, but exhibited partial limitations in generalization, as indicated by the validation curve. In summary, the study established a promising baseline despite limitations in model generalization. This indicates the need to refine methodologies, investigate new models, incorporate larger datasets, and encourage inter\u2010institutional collaboration for comprehensive studies in salivary gland tumors.<\/jats:p><\/jats:sec>","DOI":"10.1002\/hed.27971","type":"journal-article","created":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T06:39:46Z","timestamp":1730097586000},"page":"832-838","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Development and Evaluation of a Convolutional Neural Network for Microscopic Diagnosis Between Pleomorphic Adenoma and Carcinoma Ex\u2010Pleomorphic Adenoma"],"prefix":"10.1002","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8890-8723","authenticated-orcid":false,"given":"Sebasti\u00e3o Silv\u00e9rio","family":"Sousa\u2010Neto","sequence":"first","affiliation":[{"name":"Departmento de Diagn\u00f3stico Oral, Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (FOP\u2010UNICAMP)  Piracicaba S\u00e3o Paulo Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1040-8058","authenticated-orcid":false,"given":"Tha\u00eds Cerqueira Reis","family":"Nakamura","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology Federal University of S\u00e3o Paulo (ICT\u2010UNIFESP), S\u00e3o Jos\u00e9 dos Campos  S\u00e3o Paulo Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7150-3025","authenticated-orcid":false,"given":"Daniela","family":"Giraldo\u2010Roldan","sequence":"additional","affiliation":[{"name":"Departmento de Diagn\u00f3stico Oral, Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (FOP\u2010UNICAMP)  Piracicaba S\u00e3o Paulo 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C\u00e1ceres","sequence":"additional","affiliation":[{"name":"Department of Oral Surgery and Pathology, School of Dentistry Federal University of Minas Gerais (UFMG)  Belo Horizonte Minas Gerais Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1080-358X","authenticated-orcid":false,"given":"Ana L\u00facia Carrinho Ayroza","family":"Rangel","sequence":"additional","affiliation":[{"name":"Universidade Estadual Do Oeste Do Paran\u00e1 (UNIOESTE)  Cascavel Paran\u00e1 Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8662-5965","authenticated-orcid":false,"given":"Manoela Domingues","family":"Martins","sequence":"additional","affiliation":[{"name":"Department of Oral Pathology, School of Dentistry Federal University of Rio Grande Do Sul  Porto Alegre Rio Grande do Sul 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