Autonomous image segmentation and identification of anatomical landmarks from lumbar spine intraoperative computed tomography scans using machine learning: A validation study

PURPOSE: Machine-learning algorithms are a subset of artificial intelligence that have proven to enhance analytics in medicine across various platforms. Spine surgery has the potential to benefit from improved hardware placement utilizing algorithms that autonomously and accurately measure pedicle a...

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Detalles Bibliográficos
Autores principales: Siemionow, Krzyzstof, Luciano, Cristian, Forsthoefel, Craig, Aydogmus, Suavi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7462134/
https://www.ncbi.nlm.nih.gov/pubmed/32904970
http://dx.doi.org/10.4103/jcvjs.JCVJS_37_20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7462134/
https://www.ncbi.nlm.nih.gov/pubmed/32904970
http://dx.doi.org/10.4103/jcvjs.JCVJS_37_20

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