Deep Learning for Osteoporosis Classification Using Hip Radiographs and Patient Clinical Covariates

Deep Learning for Osteoporosis Classification Using Hip Radiographs and Patient Clinical Covariates

This study considers the use of deep learning to diagnose osteoporosis from hip radiographs, and whether adding clinical data improves diagnostic performance over the image mode alone. For objective labeling, we collected a dataset containing 1131 images from patients who underwent both skeletal bon...

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Bibliographic Details
Main Authors: Norio Yamamoto, Shintaro Sukegawa, Akira Kitamura, Ryosuke Goto, Tomoyuki Noda, Keisuke Nakano, Kiyofumi Takabatake, Hotaka Kawai, Hitoshi Nagatsuka, Keisuke Kawasaki, Yoshihiko Furuki, Toshifumi Ozaki
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Biomolecules
Subjects:
osteoporosis
deep learning
hip radiograph
ensemble model
Online Access:https://www.mdpi.com/2218-273X/10/11/1534

Internet

https://www.mdpi.com/2218-273X/10/11/1534

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