Automatic Hip Detection in Anteroposterior Pelvic Radiographs—A Labelless Practical Framework

Automatic Hip Detection in Anteroposterior Pelvic Radiographs—A Labelless Practical Framework

Automated detection of the region of interest (ROI) is a critical step in the two-step classification system in several medical image applications. However, key information such as model parameter selection, image annotation rules, and ROI confidence score are essential but usually not reported. In...

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Bibliographic Details
Main Authors: Feng-Yu Liu, Chih-Chi Chen, Chi-Tung Cheng, Cheng-Ta Wu, Chih-Po Hsu, Chih-Yuan Fu, Shann-Ching Chen, Chien-Hung Liao, Mel S. Lee
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Journal of Personalized Medicine
Subjects:
deep learning
hip detection
deep convolutional neural network
radiography
Online Access:https://www.mdpi.com/2075-4426/11/6/522

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https://www.mdpi.com/2075-4426/11/6/522

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