Detection of fibrosing interstitial lung disease-suspected chest radiographs using a deep learning-based computer-aided detection system: a retrospective, observational study

Detection of fibrosing interstitial lung disease-suspected chest radiographs using a deep learning-based computer-aided detection system: a retrospective, observational study

Objectives To investigate the effectiveness of BMAX, a deep learning-based computer-aided detection system for detecting fibrosing interstitial lung disease (ILD) on chest radiographs among non-expert and expert physicians in the real-world clinical setting.Design Retrospective, observational study....

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Bibliographic Details
Main Authors: Hirofumi Chiba, Jumpei Ukita, Hirotaka Nishikiori, Kenichi Hirota, Seiwa Honda, Kiwamu Hatanaka, Ryoji Nakamura, Kimiyuki Ikeda, Yuki Mori, Yuichiro Asai, Keisuke Ogaki
Format: Article
Language:English
Published: BMJ Publishing Group 2024-01-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/14/1/e078841.full

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https://bmjopen.bmj.com/content/14/1/e078841.full

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