BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

175 related articles for article (PubMed ID: 20574707)

  • 1. Evaluation of a method of computer-aided detection (CAD) of pulmonary nodules with computed tomography.
    Foti G; Faccioli N; D'Onofrio M; Contro A; Milazzo T; Pozzi Mucelli R
    Radiol Med; 2010 Sep; 115(6):950-61. PubMed ID: 20574707
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of sensitivity and reading time for the use of computer-aided detection (CAD) of pulmonary nodules at MDCT as concurrent or second reader.
    Beyer F; Zierott L; Fallenberg EM; Juergens KU; Stoeckel J; Heindel W; Wormanns D
    Eur Radiol; 2007 Nov; 17(11):2941-7. PubMed ID: 17929026
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computer-aided detection (CAD) of solid pulmonary nodules in chest x-ray equivalent ultralow dose chest CT - first in-vivo results at dose levels of 0.13mSv.
    Messerli M; Kluckert T; Knitel M; Rengier F; Warschkow R; Alkadhi H; Leschka S; Wildermuth S; Bauer RW
    Eur J Radiol; 2016 Dec; 85(12):2217-2224. PubMed ID: 27842670
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computer-aided detection of lung nodules on multidetector CT in concurrent-reader and second-reader modes: a comparative study.
    Matsumoto S; Ohno Y; Aoki T; Yamagata H; Nogami M; Matsumoto K; Yamashita Y; Sugimura K
    Eur J Radiol; 2013 Aug; 82(8):1332-7. PubMed ID: 23480965
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies.
    Vassallo L; Traverso A; Agnello M; Bracco C; Campanella D; Chiara G; Fantacci ME; Lopez Torres E; Manca A; Saletta M; Giannini V; Mazzetti S; Stasi M; Cerello P; Regge D
    Eur Radiol; 2019 Jan; 29(1):144-152. PubMed ID: 29948089
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of radiologist and CAD performance in the detection of CT-confirmed subtle pulmonary nodules on digital chest radiographs.
    Bley TA; Baumann T; Saueressig U; Pache G; Treier M; Schaefer O; Neitzel U; Langer M; Kotter E
    Invest Radiol; 2008 Jun; 43(6):343-8. PubMed ID: 18496038
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computer-aided detection of solid lung nodules on follow-up MDCT screening: evaluation of detection, tracking, and reading time.
    Beigelman-Aubry C; Raffy P; Yang W; Castellino RA; Grenier PA
    AJR Am J Roentgenol; 2007 Oct; 189(4):948-55. PubMed ID: 17885070
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: analysis of an observer performance study by nodule size.
    Sahiner B; Chan HP; Hadjiiski LM; Cascade PN; Kazerooni EA; Chughtai AR; Poopat C; Song T; Frank L; Stojanovska J; Attili A
    Acad Radiol; 2009 Dec; 16(12):1518-30. PubMed ID: 19896069
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Benefit of computer-aided detection analysis for the detection of subsolid and solid lung nodules on thin- and thick-section CT.
    Godoy MC; Kim TJ; White CS; Bogoni L; de Groot P; Florin C; Obuchowski N; Babb JS; Salganicoff M; Naidich DP; Anand V; Park S; Vlahos I; Ko JP
    AJR Am J Roentgenol; 2013 Jan; 200(1):74-83. PubMed ID: 23255744
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Efficiency of a computer-aided diagnosis (CAD) system with deep learning in detection of pulmonary nodules on 1-mm-thick images of computed tomography.
    Kozuka T; Matsukubo Y; Kadoba T; Oda T; Suzuki A; Hyodo T; Im S; Kaida H; Yagyu Y; Tsurusaki M; Matsuki M; Ishii K
    Jpn J Radiol; 2020 Nov; 38(11):1052-1061. PubMed ID: 32592003
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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; Blazís SP; van der Valk PHM; Dickerscheid DBM
    Clin Radiol; 2021 Nov; 76(11):838-845. PubMed ID: 34404517
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computer-assisted detection of pulmonary nodules: performance evaluation of an expert knowledge-based detection system in consensus reading with experienced and inexperienced chest radiologists.
    Marten K; Seyfarth T; Auer F; Wiener E; Grillhösl A; Obenauer S; Rummeny EJ; Engelke C
    Eur Radiol; 2004 Oct; 14(10):1930-8. PubMed ID: 15235812
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Lung nodule CAD software as a second reader: a multicenter study.
    White CS; Pugatch R; Koonce T; Rust SW; Dharaiya E
    Acad Radiol; 2008 Mar; 15(3):326-33. PubMed ID: 18280930
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Detection of noncalcified pulmonary nodules on low-dose MDCT: comparison of the sensitivity of two CAD systems by using a double reference standard.
    Larici AR; Amato M; Ordóñez P; Maggi F; Menchini L; Caulo A; Calandriello L; Vallati G; Giunta S; Crecco M; Bonomo L
    Radiol Med; 2012 Sep; 117(6):953-67. PubMed ID: 22327922
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Computer-aided detection of pulmonary nodules: influence of nodule characteristics on detection performance.
    Marten K; Engelke C; Seyfarth T; Grillhösl A; Obenauer S; Rummeny EJ
    Clin Radiol; 2005 Feb; 60(2):196-206. PubMed ID: 15664574
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.