Segmentation of lumbar spine MRI images for stenosis detection using patch-based pixel classification neural network

This paper addresses the central problem of automatic segmentation of lumbar spine Magnetic Resonance Imaging (MRI) images to delineate boundaries between the anterior arch and posterior arch of the lumbar spine. This is necessary to efficiently detect the occurrence of lumbar spinal stenosis a...

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Bibliographic Details

Main Authors:	Al Kafri, Ala S, Sudirman, Sud, Hussain, Abir Jaafar, Al-Jumeily, Dhiya A., Fergus, Paul, Natalia, Friska, Meidia, Hira, Afriliana, Nunik, Sophian, Ali, Al-Jumaily, Mohammed, Al-Rashdan, Wasfi, Bashtawi, Mohammad
Format:	Proceeding Paper
Language:	en en en en
Published:	Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:	QA76 Computer software QP Physiology RD Surgery T Technology (General)
Online Access:	http://irep.iium.edu.my/69097/1/69097_Segmentation%20of%20Lumbar%20Spine%20MRI%20Images%20for%20Stenosis%20Detection_cover%20page.png http://irep.iium.edu.my/69097/2/69097_Segmentation%20of%20Lumbar%20Spine%20MRI%20Images%20for%20Stenosis%20Detection_schedule.pdf http://irep.iium.edu.my/69097/3/69097_Segmentation%20of%20Lumbar%20Spine%20MRI%20Images%20for%20Stenosis%20Detection_conf.%20article.pdf http://irep.iium.edu.my/69097/4/69097_Segmentation%20of%20Lumbar%20Spine%20MRI%20Images%20for%20Stenosis%20Detection_scopus.pdf http://irep.iium.edu.my/69097/ https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8477893
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