Automated detection of wrist ganglia in MRI using convolutional neural networks

Automated detection of wrist ganglia in MRI using convolutional neural networks

Abstract Background To investigate feasibility of a method which combines segmenting convolutional neural networks (CNN) for the automated detection of ganglion cysts in 2D MRI of the wrist. The study serves as proof-of-concept, demonstrating a method to decrease false positives and offering an effi...

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Bibliographic Details
Main Authors: Mathias Hämäläinen, Markus Sormaala, Tuomas Kaseva, Eero Salli, Sauli Savolainen, Marko Kangasniemi
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Musculoskeletal Disorders
Subjects:
Ganglion cyst detection
Wrist MRI segmentation
Convolutional Neural Networks (CNN)
Musculoskeletal imaging
Musculoskeletal radiology
Automated lesion detection
Online Access:https://doi.org/10.1186/s12891-025-09011-1
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https://doi.org/10.1186/s12891-025-09011-1

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