Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network

Bone segmentation in magnetic resonance imaging (MRI) is crucial for clinical and research applications, including diagnosis, surgical planning, and treatment monitoring. However, it remains challenging due to anatomical variability and complex bone morphology. Manual segmentation is time-consuming...

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Bibliographic Details
Main Authors: Ciro Listone, Diego Romano, Marco Lapegna
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Big Data and Cognitive Computing
Subjects:
Online Access:https://www.mdpi.com/2504-2289/9/6/146
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