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Journal Abstract Search
611 related items for PubMed ID: 16843852
1. Computer-aided diagnosis for the detection and classification of lung cancers on chest radiographs ROC analysis of radiologists' performance. Shiraishi J, Abe H, Li F, Engelmann R, MacMahon H, Doi K. Acad Radiol; 2006 Aug; 13(8):995-1003. PubMed ID: 16843852 [Abstract] [Full Text] [Related]
5. 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 [Abstract] [Full Text] [Related]
6. Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists' detection performance. Awai K, Murao K, Ozawa A, Komi M, Hayakawa H, Hori S, Nishimura Y. Radiology; 2004 Feb; 230(2):347-52. PubMed ID: 14752180 [Abstract] [Full Text] [Related]
8. Computer-aided detection (CAD) in lung cancer screening at chest MDCT: ROC analysis of CAD versus radiologist performance. Fraioli F, Bertoletti L, Napoli A, Pediconi F, Calabrese FA, Masciangelo R, Catalano C, Passariello R. J Thorac Imaging; 2007 Aug; 22(3):241-6. PubMed ID: 17721333 [Abstract] [Full Text] [Related]
9. Neural network ensemble-based computer-aided diagnosis for differentiation of lung nodules on CT images: clinical evaluation. Chen H, Xu Y, Ma Y, Ma B. Acad Radiol; 2010 May; 17(5):595-602. PubMed ID: 20167513 [Abstract] [Full Text] [Related]
11. Integrating PET and CT information to improve diagnostic accuracy for lung nodules: A semiautomatic computer-aided method. Nie Y, Li Q, Li F, Pu Y, Appelbaum D, Doi K. J Nucl Med; 2006 Jul; 47(7):1075-80. PubMed ID: 16818939 [Abstract] [Full Text] [Related]
12. Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs. Kobayashi T, Xu XW, MacMahon H, Metz CE, Doi K. Radiology; 1996 Jun; 199(3):843-8. PubMed ID: 8638015 [Abstract] [Full Text] [Related]
13. Computer-aided diagnosis of lung nodules on CT scans: ROC study of its effect on radiologists' performance. Way T, Chan HP, Hadjiiski L, Sahiner B, Chughtai A, Song TK, Poopat C, Stojanovska J, Frank L, Attili A, Bogot N, Cascade PN, Kazerooni EA. Acad Radiol; 2010 Mar; 17(3):323-32. PubMed ID: 20152726 [Abstract] [Full Text] [Related]
14. Effect of high sensitivity in a computerized scheme for detecting extremely subtle solitary pulmonary nodules in chest radiographs: observer performance study. Shiraishi J, Abe H, Engelmann R, Doi K. Acad Radiol; 2003 Nov; 10(11):1302-11. PubMed ID: 14626305 [Abstract] [Full Text] [Related]
15. 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 [Abstract] [Full Text] [Related]
18. 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 [Abstract] [Full Text] [Related]
19. Computer-aided diagnostic scheme for the detection of lung nodules on chest radiographs: localized search method based on anatomical classification. Shiraishi J, Li Q, Suzuki K, Engelmann R, Doi K. Med Phys; 2006 Jul; 33(7):2642-53. PubMed ID: 16898468 [Abstract] [Full Text] [Related]