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Journal Abstract Search

958 related items for PubMed ID: 30251934

  • 1. Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.
    Nam JG, Park S, Hwang EJ, Lee JH, Jin KN, Lim KY, Vu TH, Sohn JH, Hwang S, Goo JM, Park CM.
    Radiology; 2019 Jan; 290(1):218-228. PubMed ID: 30251934
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  • 5. Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs.
    Hwang EJ, Park S, Jin KN, Kim JI, Choi SY, Lee JH, Goo JM, Aum J, Yim JJ, Cohen JG, Ferretti GR, Park CM, DLAD Development and Evaluation Group.
    JAMA Netw Open; 2019 Mar 01; 2(3):e191095. PubMed ID: 30901052
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  • 7. Test-retest reproducibility of a deep learning-based automatic detection algorithm for the chest radiograph.
    Kim H, Park CM, Goo JM.
    Eur Radiol; 2020 Apr 01; 30(4):2346-2355. PubMed ID: 31900698
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  • 9. Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs: Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net.
    Kim YG, Cho Y, Wu CJ, Park S, Jung KH, Seo JB, Lee HJ, Hwang HJ, Lee SM, Kim N.
    Sci Rep; 2019 Dec 10; 9(1):18738. PubMed ID: 31822774
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  • 10. External validation of deep learning-based automated detection algorithm for chest radiograph: practical issues in outpatient clinic.
    Lee DE, Chae KJ, Jin GY, Park SY, Jeong JS, Ahn SY.
    Acta Radiol; 2023 Nov 10; 64(11):2898-2907. PubMed ID: 37750179
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  • 16. Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case-control study.
    Choi SY, Park S, Kim M, Park J, Choi YR, Jin KN.
    Medicine (Baltimore); 2021 Apr 23; 100(16):e25663. PubMed ID: 33879750
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  • 19. Development and Validation of a Deep Learning-Based Synthetic Bone-Suppressed Model for Pulmonary Nodule Detection in Chest Radiographs.
    Kim H, Lee KH, Han K, Lee JW, Kim JY, Im DJ, Hong YJ, Choi BW, Hur J.
    JAMA Netw Open; 2023 Jan 03; 6(1):e2253820. PubMed ID: 36719681
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  • 20. Validation of deep learning-based computer-aided detection software use for interpretation of pulmonary abnormalities on chest radiographs and examination of factors that influence readers' performance and final diagnosis.
    Toda N, Hashimoto M, Iwabuchi Y, Nagasaka M, Takeshita R, Yamada M, Yamada Y, Jinzaki M.
    Jpn J Radiol; 2023 Jan 03; 41(1):38-44. PubMed ID: 36121622
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