BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

402 related articles for article (PubMed ID: 21621935)

  • 1. Assessing the use of digital radiography and a real-time interactive pulmonary nodule analysis system for large population lung cancer screening.
    Xu Y; Ma D; He W
    Eur J Radiol; 2012 Apr; 81(4):e451-6. PubMed ID: 21621935
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of a real-time interactive pulmonary nodule analysis system on chest digital radiographic images: a prospective study.
    van Beek EJ; Mullan B; Thompson B
    Acad Radiol; 2008 May; 15(5):571-5. PubMed ID: 18423313
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Solid, part-solid, or non-solid?: classification of pulmonary nodules in low-dose chest computed tomography by a computer-aided diagnosis system.
    Jacobs C; van Rikxoort EM; Scholten ET; de Jong PA; Prokop M; Schaefer-Prokop C; van Ginneken B
    Invest Radiol; 2015 Mar; 50(3):168-73. PubMed ID: 25478740
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of computer-aided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy.
    Hirose T; Nitta N; Shiraishi J; Nagatani Y; Takahashi M; Murata K
    Acad Radiol; 2008 Dec; 15(12):1505-12. PubMed ID: 19000867
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Usefulness of computerized method for lung nodule detection on digital chest radiographs using similar subtraction images from different patients.
    Aoki T; Oda N; Yamashita Y; Yamamoto K; Korogi Y
    Eur J Radiol; 2012 May; 81(5):1062-7. PubMed ID: 21382681
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Effect of multiscale processing in digital chest radiography on automated detection of lung nodule with a computer assistance system.
    He Q; He W; Wang K; Ma D
    J Digit Imaging; 2008 Oct; 21 Suppl 1(Suppl 1):S164-70. PubMed ID: 18239963
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computer-aided lung nodule detection in CT: results of large-scale observer test.
    Brown MS; Goldin JG; Rogers S; Kim HJ; Suh RD; McNitt-Gray MF; Shah SK; Truong D; Brown K; Sayre JW; Gjertson DW; Batra P; Aberle DR
    Acad Radiol; 2005 Jun; 12(6):681-6. PubMed ID: 15935966
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bone suppressed images improve radiologists' detection performance for pulmonary nodules in chest radiographs.
    Schalekamp S; van Ginneken B; Meiss L; Peters-Bax L; Quekel LG; Snoeren MM; Tiehuis AM; Wittenberg R; Karssemeijer N; Schaefer-Prokop CM
    Eur J Radiol; 2013 Dec; 82(12):2399-405. PubMed ID: 24113431
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Inter-observer variations of digital radiograph pulmonary nodule marking by using computer toolkit.
    Song W; Xu Y; Xie YM; Fan L; Qian JZ; Jin ZY
    Chin Med Sci J; 2007 Mar; 22(1):1-4. PubMed ID: 17441308
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Improved detection of lung nodules on chest radiographs using a commercial computer-aided diagnosis system.
    Kakeda S; Moriya J; Sato H; Aoki T; Watanabe H; Nakata H; Oda N; Katsuragawa S; Yamamoto K; Doi K
    AJR Am J Roentgenol; 2004 Feb; 182(2):505-10. PubMed ID: 14736690
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of dual-energy subtraction and electronic bone suppression combined with computer-aided detection on chest radiographs: effect on human observers' performance in nodule detection.
    Szucs-Farkas Z; Schick A; Cullmann JL; Ebner L; Megyeri B; Vock P; Christe A
    AJR Am J Roentgenol; 2013 May; 200(5):1006-13. PubMed ID: 23617482
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A novel approach to nodule feature optimization on thin section thoracic CT.
    Samala R; Moreno W; You Y; Qian W
    Acad Radiol; 2009 Apr; 16(4):418-27. PubMed ID: 19268853
    [TBL] [Abstract][Full Text] [Related]  

  • 17. JOURNAL CLUB: Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function.
    Lo SB; Freedman MT; Gillis LB; White CS; Mun SK
    AJR Am J Roentgenol; 2018 Mar; 210(3):480-488. PubMed ID: 29336601
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network.
    Suzuki K; Li F; Sone S; Doi K
    IEEE Trans Med Imaging; 2005 Sep; 24(9):1138-50. PubMed ID: 16156352
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Commercially available computer-aided detection system for pulmonary nodules on thin-section images using 64 detectors-row CT: preliminary study of 48 cases.
    Yanagawa M; Honda O; Yoshida S; Ono Y; Inoue A; Daimon T; Sumikawa H; Mihara N; Johkoh T; Tomiyama N; Nakamura H
    Acad Radiol; 2009 Aug; 16(8):924-33. PubMed ID: 19394873
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computer-aided detection of solid lung nodules in lossy compressed multidetector computed tomography chest exams.
    Raffy P; Gaudeau Y; Miller DP; Moureaux JM; Castellino RA
    Acad Radiol; 2006 Oct; 13(10):1194-203. PubMed ID: 16979068
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.