Comparing image normalization techniques in an end-to-end model for automated modic changes classification from MRI images

Comparing image normalization techniques in an end-to-end model for automated modic changes classification from MRI images

Introduction: Modic Changes (MCs) are MRI alterations in spine vertebrae's signal intensity. This study introduces an end-to-end model to automatically detect and classify MCs in lumbar MRIs. The model's two-step process involves locating intervertebral regions and then categorizing MC typ...

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Bibliographic Details
Main Authors: Andrea Cina, Daniel Haschtmann, Dimitrios Damopoulos, Nicolas Gerber, Markus Loibl, Tamas Fekete, Frank Kleinstück, Fabio Galbusera
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Brain and Spine
Subjects:
Modic changes
MRI images
Deep learning
Automatic classification
Detection
Online Access:http://www.sciencedirect.com/science/article/pii/S2772529423010263
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http://www.sciencedirect.com/science/article/pii/S2772529423010263

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