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Radiology. 2021 Feb;298(2):E88-E97. doi: 10.1148/radiol.2020202944. Epub 2020 Sep 24.
3
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.联合人工智能和放射科医生评估解读筛查性乳房 X 光照片的效果。
JAMA Netw Open. 2020 Mar 2;3(3):e200265. doi: 10.1001/jamanetworkopen.2020.0265.
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Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset.利用 NIH 胸部 X 射线数据集上的机器学习标注进行气胸标注众包。
J Digit Imaging. 2020 Apr;33(2):490-496. doi: 10.1007/s10278-019-00299-9.
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Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks.利用深度人工智能神经网络对成人胸部 X 光片进行自动分诊。
Radiology. 2019 Apr;291(1):196-202. doi: 10.1148/radiol.2018180921. Epub 2019 Jan 22.
6
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.深度学习在胸片诊断中的应用：CheXNeXt 算法与临床放射科医生的回顾性比较。
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Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs.卷积神经网络在胸部 X 光片自动分类中的评估。
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使用自由文本报告管理CANDID-PTX数据集

Curation of the CANDID-PTX Dataset with Free-Text Reports.

作者信息

Feng Sijing, Azzollini Damian, Kim Ji Soo, Jin Cheng-Kai, Gordon Simon P, Yeoh Jason, Kim Eve, Han Mina, Lee Andrew, Patel Aakash, Wu Joy, Urschler Martin, Fong Amy, Simmers Cameron, Tarr Gregory P, Barnard Stuart, Wilson Ben

机构信息

Department of Radiology, Dunedin Hospital, 201 Great King St, Dunedin Central, Dunedin, Otago 9016, New Zealand (S.F., A.F., C.S., B.W.); Eastern Health, Melbourne, Victoria, Australia (D.A.); Auckland District Health Board, Auckland, New Zealand (J.S.K., J.Y., E.K., M.H.); Waitemata District Health Board, Auckland, New Zealand (C.K.J.); Waikato District Health Board, Hamilton, New Zealand (S.P.G.); The University of Auckland Faculty of Medical and Health Sciences, Auckland, Auckland, New Zealand (A.L.); University of Otago Medical School, Dunedin, Otago, New Zealand (A.P.); IBM Almaden Research Center, San Jose, Calif (J.W.); School of Computer Science, University of Auckland, Auckland, New Zealand (M.U.); Department of Radiology, Auckland City Hospital, Auckland, New Zealand (G.P.T.); and Department of Radiology, Middlemore Hospital, Auckland, New Zealand (S.B.).

出版信息

Radiol Artif Intell. 2021 Oct 13;3(6):e210136. doi: 10.1148/ryai.2021210136. eCollection 2021 Nov.

DOI:10.1148/ryai.2021210136
PMID:34870223
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8637219/
Abstract

Conventional Radiography, Thorax, Trauma, Ribs, Catheters, Segmentation, Diagnosis, Classification, Supervised Learning, Machine Learning © RSNA, 2021.

摘要

传统放射成像、胸部、创伤、肋骨、导管、分割、诊断、分类、监督学习、机器学习 © RSNA，2021 年。