The Detection and Classification of Scaphoid Fractures in Radiograph by Using a Convolutional Neural Network

The Detection and Classification of Scaphoid Fractures in Radiograph by Using a Convolutional Neural Network

Objective: Scaphoid fractures, particularly occult and non-displaced fractures, are difficult to detect using traditional X-ray methods because of their subtle appearance and variability in bone density. This study proposes a two-stage CNN approach to detect and classify scaphoid fractures using ant...

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Bibliographic Details
Main Authors: Tai-Hua Yang, Yung-Nien Sun, Rong-Shiang Li, Ming-Huwi Horng
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Diagnostics
Subjects:
medical image computer-aided diagnosis system
scaphoid bone
scaphoid fractures
multi-view detection and segmentation
convolutional neural network
Online Access:https://www.mdpi.com/2075-4418/14/21/2425
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