Analysis of the mandibular canal course using unsupervised machine learning algorithm

OBJECTIVES: Anatomical structure classification is necessary task in medical field, but the inevitable variability of interpretation among experts makes reliable classification difficult. This study aims to introduce cluster analysis, unsupervised machine learning method, for classification of three...

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Detalles Bibliográficos
Autores principales: Kim, Young Hyun, Jeon, Kug Jin, Lee, Chena, Choi, Yoon Joo, Jung, Hoi-In, Han, Sang-Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604350/
https://www.ncbi.nlm.nih.gov/pubmed/34797856
http://dx.doi.org/10.1371/journal.pone.0260194

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604350/
https://www.ncbi.nlm.nih.gov/pubmed/34797856
http://dx.doi.org/10.1371/journal.pone.0260194

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