Fully automated determination of the cervical vertebrae maturation stages using deep learning with directional filters

INTRODUCTION: We aim to apply deep learning to achieve fully automated detection and classification of the Cervical Vertebrae Maturation (CVM) stages. We propose an innovative custom-designed deep Convolutional Neural Network (CNN) with a built-in set of novel directional filters that highlight the...

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Detalles Bibliográficos
Autores principales: Atici, Salih Furkan, Ansari, Rashid, Allareddy, Veerasathpurush, Suhaym, Omar, Cetin, Ahmet Enis, Elnagar, Mohammed H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249196/
https://www.ncbi.nlm.nih.gov/pubmed/35776715
http://dx.doi.org/10.1371/journal.pone.0269198

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249196/
https://www.ncbi.nlm.nih.gov/pubmed/35776715
http://dx.doi.org/10.1371/journal.pone.0269198

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