A deep learning pipeline for automatized assessment of spinal MRI

A deep learning pipeline for automatized assessment of spinal MRI

Background: This work evaluates the feasibility, development, and validation of a machine learning pipeline that includes all tasks from MRI input to the segmentation and grading of the intervertebral discs in the lumbar spine, offering multiple different radiological gradings of degeneration as qua...

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Bibliographic Details
Main Authors: Irina Balzer, Malin Mühlemann, Moritz Jokeit, Ishaan Singh Rawal, Jess G. Snedeker, Mazda Farshad, Jonas Widmer
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Computer Methods and Programs in Biomedicine Update
Subjects:
Quantitative MRI grading
Lumbar spine anatomy
Intervertebral disc
Degenerative changes
Medical decision support system
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666990022000325

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http://www.sciencedirect.com/science/article/pii/S2666990022000325

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