Computer-aided diagnosis with a convolutional neural network algorithm for automated detection of urinary tract stones on plain X-ray

Computer-aided diagnosis with a convolutional neural network algorithm for automated detection of urinary tract stones on plain X-ray

Abstract Background Recent increased use of medical images induces further burden of their interpretation for physicians. A plain X-ray is a low-cost examination that has low-dose radiation exposure and high availability, although diagnosing urolithiasis using this method is not always easy. Since t...

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Bibliographic Details
Main Authors: Masaki Kobayashi, Junichiro Ishioka, Yoh Matsuoka, Yuichi Fukuda, Yusuke Kohno, Keizo Kawano, Shinji Morimoto, Rie Muta, Motohiro Fujiwara, Naoko Kawamura, Tetsuo Okuno, Soichiro Yoshida, Minato Yokoyama, Rumi Suda, Ryota Saiki, Kenji Suzuki, Itsuo Kumazawa, Yasuhisa Fujii
Format: Article
Language:English
Published: BMC 2021-08-01
Series:BMC Urology
Subjects:
Artificial intelligence
Convolutional neural network
Deep learning
X-ray
Urinary tract stone
Urolithiasis
Online Access:https://doi.org/10.1186/s12894-021-00874-9

Internet

https://doi.org/10.1186/s12894-021-00874-9

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