Valores brutos das métricas de sobreposição dos modelos tridimencionais dos métodos: segmentação manual, segmentação por inteligência artificial (IA) e segmentação IA refinada para segmentação gengival em exames de TCFC baseada em escaneamento intraoral, valores do tempo de segmentação entre os métodos adotados e concordância intra e inter examinador

Version 1.1
Fagundes, Fernanda Bulhões; Papasratorn, Dhanaporn; Elgarba, Bahaaeldeen M.; Fontenele, Rocharles Cavalcante; Neves, Frederico Sampaio; Jacobs, Reinhilde, 2026, "Valores brutos das métricas de sobreposição dos modelos tridimencionais dos métodos: segmentação manual, segmentação por inteligência artificial (IA) e segmentação IA refinada para segmentação gengival em exames de TCFC baseada em escaneamento intraoral, valores do tempo de segmentação entre os métodos adotados e concordância intra e inter examinador", https://doi.org/10.25824/redu/IZI7J1, Repositório de Dados de Pesquisa da Unicamp , V1, UNF:6:J6ilmJx3+oP3UYdrua3k9Q== [fileUNF]
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Description
A tabela apresenta os valores brutos das métricas de sobreposição dos modelos tridimencionais dos métodos: segmentação manual, segmentação por inteligência artificial (IA) e segmentação IA Refinada para segmentação gengival em exames de TCFC baseada em exames de escaneamento intraoral. Também são exibidos valores do tempo de segmentação (em segundos) entre os métodos adotados e valores de concordância intra e inter examinador utilizando as métricas de sobreposição: Dice (%), Accuracy (%), Recall (%), Precision (%), Root mean square (mm), Median Surface Deviation (mm), 95% Hausdorff Distance (mm). Para a comparação entre os métodos IA e IA Refinada entre as arcadas maxilar e mandibular foi utilizado o teste t independente ou o teste U de Mann-Whitney, conforme a normalidade dos dados. Para a comparação do tempo de segmentação, aplicou-se o teste ANOVA unidirecional de medidas repetidas, seguido do teste post hoc de Tukey. O nível de significância adotado foi de 5% (α = 0,05).
Subject Medicine, Health and Life Sciences
Keyword Artificial intelligence, Cone beam computed tomography, Intra-oral scan, Gingiva, Segmentation
Related Publication FAGUNDES, Fernanda Bulhões. Segmentação gengival orientada por inteligência artificial utilizando exames de TCFC e baseada em escaneamento intraoral: um estudo de validação. 2025. 1 recurso online (64 p.) Tese (doutorado) - Universidade Estadual de Campinas (UNICAMP), Faculdade de Odontologia de Piracicaba, Piracicaba, SP
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Published Jan 16, 2026
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18 Variables, 19 Observations UNF:6:J6ilmJx3+oP3UYdrua3k9Q==
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