Convolutional neural network-based automated segmentation and labeling of the lumbar spine X-ray

PURPOSE: This study investigated the segmentation metrics of different segmentation networks trained on 730 manually annotated lateral lumbar spine X-rays to test the generalization ability and robustness which are the basis of clinical decision support algorithms. METHODS: Instance segmentation net...

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Detalles Bibliográficos
Autores principales: Kónya, Sándor, Natarajan, TR Sai, Allouch, Hassan, Nahleh, Kais Abu, Dogheim, Omneya Yakout, Boehm, Heinrich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214241/
https://www.ncbi.nlm.nih.gov/pubmed/34194159
http://dx.doi.org/10.4103/jcvjs.jcvjs_186_20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214241/
https://www.ncbi.nlm.nih.gov/pubmed/34194159
http://dx.doi.org/10.4103/jcvjs.jcvjs_186_20

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