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Journal Abstract Search
129 related items for PubMed ID: 2783501
1. The diagnosis of pulmonary nodules: comparison between standard and inverse digitized images and conventional chest radiographs. Sheline ME, Brikman I, Epstein DM, Mezrich JL, Kundel HL, Arenson RL. AJR Am J Roentgenol; 1989 Feb; 152(2):261-3. PubMed ID: 2783501 [Abstract] [Full Text] [Related]
2. Effects of image processing on nodule detection rates in digitized chest radiographs: ROC study of observer performance. Sherrier RH, Chiles C, Wilkinson WE, Johnson GA, Ravin CE. Radiology; 1988 Feb; 166(2):447-50. PubMed ID: 3336719 [Abstract] [Full Text] [Related]
3. Standard versus inverted digital luminescence radiography in detecting pulmonary nodules: a ROC analysis. Kirchner J, Gadek D, Goltz JP, Doroch-Gadek A, Stückradt S, Liermann D, Kickuth R. Eur J Radiol; 2013 Oct; 82(10):1799-803. PubMed ID: 23756324 [Abstract] [Full Text] [Related]
12. Digital tomosynthesis of the thorax: the influence of respiratory motion artifacts on lung nodule detection. Kim SM, Chung MJ, Lee KS, Kang H, Song IY, Lee EJ, Hwang HS. Acta Radiol; 2013 Jul; 54(6):634-9. PubMed ID: 23528563 [Abstract] [Full Text] [Related]
13. Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules. Shiraishi J, Katsuragawa S, Ikezoe J, Matsumoto T, Kobayashi T, Komatsu K, Matsui M, Fujita H, Kodera Y, Doi K. AJR Am J Roentgenol; 2000 Jan; 174(1):71-4. PubMed ID: 10628457 [Abstract] [Full Text] [Related]
14. [Comparison of LCD and CRT monitors for detection of pulmonary nodules and interstitial lung diseases on digital chest radiographs by using receiver operating characteristic analysis]. Ikeda R, Katsuragawa S, Shimonobou T, Hiai Y, Hashida M, Awai K, Yamashita Y, Doi K. Nihon Hoshasen Gijutsu Gakkai Zasshi; 2006 May 20; 62(5):734-41. PubMed ID: 16733502 [Abstract] [Full Text] [Related]
15. Performance of radiologists in detection of small pulmonary nodules on chest radiographs: effect of rib suppression with a massive-training artificial neural network. Oda S, Awai K, Suzuki K, Yanaga Y, Funama Y, MacMahon H, Yamashita Y. AJR Am J Roentgenol; 2009 Nov 20; 193(5):W397-402. PubMed ID: 19843717 [Abstract] [Full Text] [Related]
16. Gray-scale inversion radiographic display for the detection of pulmonary nodules on chest radiographs. Lungren MP, Samei E, Barnhart H, McAdams HP, Leder RA, Christensen JD, Wylie JD, Tan JW, Li X, Hurwitz LM. Clin Imaging; 2012 Nov 20; 36(5):515-21. PubMed ID: 22920355 [Abstract] [Full Text] [Related]