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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...
Autores principales: | Atici, Salih Furkan, Ansari, Rashid, Allareddy, Veerasathpurush, Suhaym, Omar, Cetin, Ahmet Enis, Elnagar, Mohammed H. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
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 |
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