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

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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Bibliographic Details
Main Authors: Sandor Konya, T R Sai Natarajan, Hassan Allouch, Kais Abu Nahleh, Omneya Yakout Dogheim, Heinrich Boehm
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Journal of Craniovertebral Junction and Spine
Subjects:
convolutional neural networks
deep neural networks
instance segmentation
lumbar vertebrae
machine learning
postoperative image analysis
semantic segmentation
x-ray
Online Access:http://www.jcvjs.com/article.asp?issn=0974-8237;year=2021;volume=12;issue=2;spage=136;epage=143;aulast=Konya

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http://www.jcvjs.com/article.asp?issn=0974-8237;year=2021;volume=12;issue=2;spage=136;epage=143;aulast=Konya

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