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

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: Conference or Workshop Item
Language:English
English
English
English
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/
http://irep.iium.edu.my/69097/
http://irep.iium.edu.my/69097/
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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

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