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

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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Bibliographic Details
Main Authors: Krzyzstof Siemionow, Cristian Luciano, Craig Forsthoefel, Suavi Aydogmus
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Journal of Craniovertebral Junction and Spine
Subjects:
artificial intelligence
navigation
spine surgery
Online Access:http://www.jcvjs.com/article.asp?issn=0974-8237;year=2020;volume=11;issue=2;spage=99;epage=103;aulast=Siemionow

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