Machine Learning: Using Xception, a Deep Convolutional Neural Network Architecture, to Implement Pectus Excavatum Diagnostic Tool from Frontal-View Chest X-rays

Pectus excavatum (PE), a chest-wall deformity that can compromise cardiopulmonary function, cannot be detected by a radiologist through frontal chest radiography without a lateral view or chest computed tomography. This study aims to train a convolutional neural network (CNN), a deep learning archit...

Descripción completa

Detalles Bibliográficos
Autores principales: Fan, Yu-Jiun, Tzeng, I-Shiang, Huang, Yao-Sian, Hsu, Yuan-Yu, Wei, Bo-Chun, Hung, Shuo-Ting, Cheng, Yeung-Leung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045358/
https://www.ncbi.nlm.nih.gov/pubmed/36979738
http://dx.doi.org/10.3390/biomedicines11030760

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045358/
https://www.ncbi.nlm.nih.gov/pubmed/36979738
http://dx.doi.org/10.3390/biomedicines11030760

Ejemplares similares