BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

220 related articles for article (PubMed ID: 32615493)

  • 1. Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage.
    Zheng S; Cui X; Vonder M; Veldhuis RNJ; Ye Z; Vliegenthart R; Oudkerk M; van Ooijen PMA
    Comput Methods Programs Biomed; 2020 Nov; 196():105620. PubMed ID: 32615493
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection.
    Zheng S; Guo J; Cui X; Veldhuis RNJ; Oudkerk M; van Ooijen PMA
    IEEE Trans Med Imaging; 2020 Mar; 39(3):797-805. PubMed ID: 31425026
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program.
    Cui X; Zheng S; Heuvelmans MA; Du Y; Sidorenkov G; Fan S; Li Y; Xie Y; Zhu Z; Dorrius MD; Zhao Y; Veldhuis RNJ; de Bock GH; Oudkerk M; van Ooijen PMA; Vliegenthart R; Ye Z
    Eur J Radiol; 2022 Jan; 146():110068. PubMed ID: 34871936
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Efficacy of computer-aided detection system and thin-slab maximum intensity projection technique in the detection of pulmonary nodules in patients with resected metastases.
    Park EA; Goo JM; Lee JW; Kang CH; Lee HJ; Lee CH; Park CM; Lee HY; Im JG
    Invest Radiol; 2009 Feb; 44(2):105-13. PubMed ID: 19034026
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Effect of slab thickness on the CT detection of pulmonary nodules: use of sliding thin-slab maximum intensity projection and volume rendering.
    Kawel N; Seifert B; Luetolf M; Boehm T
    AJR Am J Roentgenol; 2009 May; 192(5):1324-9. PubMed ID: 19380557
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Performance Analysis in Children of Traditional and Deep Learning CT Lung Nodule Computer-Aided Detection Systems Trained on Adults.
    Hardie RC; Trout AT; Dillman JR; Narayanan BN; Tanimoto AA
    AJR Am J Roentgenol; 2024 Feb; 222(2):e2330345. PubMed ID: 37991333
    [No Abstract]   [Full Text] [Related]  

  • 7. A new computationally efficient CAD system for pulmonary nodule detection in CT imagery.
    Messay T; Hardie RC; Rogers SK
    Med Image Anal; 2010 Jun; 14(3):390-406. PubMed ID: 20346728
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning.
    Gu Y; Chi J; Liu J; Yang L; Zhang B; Yu D; Zhao Y; Lu X
    Comput Biol Med; 2021 Oct; 137():104806. PubMed ID: 34461501
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification.
    Zheng S; Cornelissen LJ; Cui X; Jing X; Veldhuis RNJ; Oudkerk M; van Ooijen PMA
    Med Phys; 2021 Feb; 48(2):733-744. PubMed ID: 33300162
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The effect of pulmonary vessel suppression on computerized detection of nodules in chest CT scans.
    Gu X; Xie W; Fang Q; Zhao J; Li Q
    Med Phys; 2020 Oct; 47(10):4917-4927. PubMed ID: 32681587
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Pulmonary nodule detection on MDCT images: evaluation of diagnostic performance using thin axial images, maximum intensity projections, and computer-assisted detection.
    Jankowski A; Martinelli T; Timsit JF; Brambilla C; Thony F; Coulomb M; Ferretti G
    Eur Radiol; 2007 Dec; 17(12):3148-56. PubMed ID: 17763856
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population.
    Murchison JT; Ritchie G; Senyszak D; Nijwening JH; van Veenendaal G; Wakkie J; van Beek EJR
    PLoS One; 2022; 17(5):e0266799. PubMed ID: 35511758
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database.
    Jacobs C; van Rikxoort EM; Murphy K; Prokop M; Schaefer-Prokop CM; van Ginneken B
    Eur Radiol; 2016 Jul; 26(7):2139-47. PubMed ID: 26443601
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Effect of CT reconstruction settings on the performance of a deep learning based lung nodule CAD system.
    Blazis SP; Dickerscheid DBM; Linsen PVM; Martins Jarnalo CO
    Eur J Radiol; 2021 Mar; 136():109526. PubMed ID: 33453573
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 3D deep learning for detecting pulmonary nodules in CT scans.
    Gruetzemacher R; Gupta A; Paradice D
    J Am Med Inform Assoc; 2018 Oct; 25(10):1301-1310. PubMed ID: 30137371
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effect of Slab Thickness on the Detection of Pulmonary Nodules by Use of CT Maximum and Minimum Intensity Projection.
    Li WJ; Chu ZG; Zhang Y; Li Q; Zheng YN; Lv FJ
    AJR Am J Roentgenol; 2019 Sep; 213(3):562-567. PubMed ID: 31063429
    [No Abstract]   [Full Text] [Related]  

  • 17. Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection.
    Rubin GD; Lyo JK; Paik DS; Sherbondy AJ; Chow LC; Leung AN; Mindelzun R; Schraedley-Desmond PK; Zinck SE; Naidich DP; Napel S
    Radiology; 2005 Jan; 234(1):274-83. PubMed ID: 15537839
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Research progress of computer aided diagnosis system for pulmonary nodules in CT images.
    Wang Y; Wu B; Zhang N; Liu J; Ren F; Zhao L
    J Xray Sci Technol; 2020; 28(1):1-16. PubMed ID: 31815727
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital.
    Martins Jarnalo CO; Linsen PVM; BlazĂ­s SP; van der Valk PHM; Dickerscheid DBM
    Clin Radiol; 2021 Nov; 76(11):838-845. PubMed ID: 34404517
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.