BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

146 related articles for article (PubMed ID: 34115023)

  • 1. Performance and educational training of radiographers in lung nodule or mass detection: Retrospective comparison with different deep learning algorithms.
    Teng PH; Liang CH; Lin Y; Alberich-Bayarri A; González RL; Li PW; Weng YH; Chen YT; Lin CH; Chou KJ; Chen YS; Wu FZ
    Medicine (Baltimore); 2021 Jun; 100(23):e26270. PubMed ID: 34115023
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identifying pulmonary nodules or masses on chest radiography using deep learning: external validation and strategies to improve clinical practice.
    Liang CH; Liu YC; Wu MT; Garcia-Castro F; Alberich-Bayarri A; Wu FZ
    Clin Radiol; 2020 Jan; 75(1):38-45. PubMed ID: 31521323
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning.
    Kim YG; Lee SM; Lee KH; Jang R; Seo JB; Kim N
    Eur Radiol; 2020 Sep; 30(9):4943-4951. PubMed ID: 32350657
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs.
    Yoo H; Kim KH; Singh R; Digumarthy SR; Kalra MK
    JAMA Netw Open; 2020 Sep; 3(9):e2017135. PubMed ID: 32970157
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs.
    Sim Y; Chung MJ; Kotter E; Yune S; Kim M; Do S; Han K; Kim H; Yang S; Lee DJ; Choi BW
    Radiology; 2020 Jan; 294(1):199-209. PubMed ID: 31714194
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep learning-based automatic detection for pulmonary nodules on chest radiographs: The relationship with background lung condition, nodule characteristics, and location.
    Ueno M; Yoshida K; Takamatsu A; Kobayashi T; Aoki T; Gabata T
    Eur J Radiol; 2023 Sep; 166():111002. PubMed ID: 37499478
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparing the performance of trained radiographers against experienced radiologists in the UK lung cancer screening (UKLS) trial.
    Nair A; Gartland N; Barton B; Jones D; Clements L; Screaton NJ; Holemans JA; Duffy SW; Field JK; Baldwin DR; Hansell DM; Devaraj A
    Br J Radiol; 2016 Oct; 89(1066):20160301. PubMed ID: 27461068
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.
    Rajpurkar P; Irvin J; Ball RL; Zhu K; Yang B; Mehta H; Duan T; Ding D; Bagul A; Langlotz CP; Patel BN; Yeom KW; Shpanskaya K; Blankenberg FG; Seekins J; Amrhein TJ; Mong DA; Halabi SS; Zucker EJ; Ng AY; Lungren MP
    PLoS Med; 2018 Nov; 15(11):e1002686. PubMed ID: 30457988
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An Artificial Intelligence-Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study.
    Homayounieh F; Digumarthy S; Ebrahimian S; Rueckel J; Hoppe BF; Sabel BO; Conjeti S; Ridder K; Sistermanns M; Wang L; Preuhs A; Ghesu F; Mansoor A; Moghbel M; Botwin A; Singh R; Cartmell S; Patti J; Huemmer C; Fieselmann A; Joerger C; Mirshahzadeh N; Muse V; Kalra M
    JAMA Netw Open; 2021 Dec; 4(12):e2141096. PubMed ID: 34964851
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists.
    Li L; Liu Z; Huang H; Lin M; Luo D
    Thorac Cancer; 2019 Feb; 10(2):183-192. PubMed ID: 30536611
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 9(1):18738. PubMed ID: 31822774
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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; 30(4):2346-2355. PubMed ID: 31900698
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimation of malignancy of pulmonary nodules at CT scans: Effect of computer-aided diagnosis on diagnostic performance of radiologists.
    Liu J; Zhao L; Han X; Ji H; Liu L; He W
    Asia Pac J Clin Oncol; 2021 Jun; 17(3):216-221. PubMed ID: 32757455
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Artificial intelligence-supported lung cancer detection by multi-institutional readers with multi-vendor chest radiographs: a retrospective clinical validation study.
    Ueda D; Yamamoto A; Shimazaki A; Walston SL; Matsumoto T; Izumi N; Tsukioka T; Komatsu H; Inoue H; Kabata D; Nishiyama N; Miki Y
    BMC Cancer; 2021 Oct; 21(1):1120. PubMed ID: 34663260
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiologists with and without deep learning-based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses.
    Wataya T; Yanagawa M; Tsubamoto M; Sato T; Nishigaki D; Kita K; Yamagata K; Suzuki Y; Hata A; Kido S; Tomiyama N;
    Eur Radiol; 2023 Jan; 33(1):348-359. PubMed ID: 35751697
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and clinical application of deep learning model for lung nodules screening on CT images.
    Cui S; Ming S; Lin Y; Chen F; Shen Q; Li H; Chen G; Gong X; Wang H
    Sci Rep; 2020 Aug; 10(1):13657. PubMed ID: 32788705
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Value of a deep learning-based algorithm for detecting Lung-RADS category 4 nodules on chest radiographs in a health checkup population: estimation of the sample size for a randomized controlled trial.
    Nam JG; Kim HJ; Lee EH; Hong W; Park J; Hwang EJ; Park CM; Goo JM
    Eur Radiol; 2022 Jan; 32(1):213-222. PubMed ID: 34264351
    [TBL] [Abstract][Full Text] [Related]  

  • 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; 6(1):e2253820. PubMed ID: 36719681
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method.
    Shimazaki A; Ueda D; Choppin A; Yamamoto A; Honjo T; Shimahara Y; Miki Y
    Sci Rep; 2022 Jan; 12(1):727. PubMed ID: 35031654
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.