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Kunio Doi to ROC Curve

This is a "connection" page, showing publications Kunio Doi has written about ROC Curve.

 
Connection Strength
 
 
 
4.577
 
  1. Shiraishi J, Doi K. Charles Edgar Metz, Ph.D. (1942-2012): pioneer in receiver operating characteristic (ROC) analysis. Radiol Phys Technol. 2019 Mar; 12(1):1-5.
    View in: PubMed
    Score: 0.620
  2. Shiraishi J, Pesce LL, Metz CE, Doi K. Experimental design and data analysis in receiver operating characteristic studies: lessons learned from reports in radiology from 1997 to 2006. Radiology. 2009 Dec; 253(3):822-30.
    View in: PubMed
    Score: 0.324
  3. Ikeda R, Katsuragawa S, Shimonobou T, Hiai Y, Hashida M, Awai K, Yamashita Y, Doi K. [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]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2006 May 20; 62(5):734-41.
    View in: PubMed
    Score: 0.256
  4. Ikeda R, Katsuragawa S, Shimonobou T, Hashida M, Yamashita Y, Doi K. [Report on the 90th Scientific Assembly and Annual Meeting of the Radiological Society of North America-- 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]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2005 Jul 20; 61(7):974-5.
    View in: PubMed
    Score: 0.241
  5. Higashida Y, Ideguchi T, Muranaka T, Tabata N, Miyajima R, Akazawa F, Ikeda H, Morimoto K, Ohki M, Toyofuku F, Doi K. [ROC analysis of detection of interval changes in interstitial lung diseases on digital chest radiographs using the temporal subtraction technique]. Nihon Igaku Hoshasen Gakkai Zasshi. 2004 Jan; 64(1):35-40.
    View in: PubMed
    Score: 0.217
  6. Doi K. [Needs of research for technologist-assisted diagnosis (TAD)]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2014 Jan; 70(1):86-8.
    View in: PubMed
    Score: 0.108
  7. Li F, Hara T, Shiraishi J, Engelmann R, MacMahon H, Doi K. Improved detection of subtle lung nodules by use of chest radiographs with bone suppression imaging: receiver operating characteristic analysis with and without localization. AJR Am J Roentgenol. 2011 May; 196(5):W535-41.
    View in: PubMed
    Score: 0.090
  8. Nagashima H, Iwasaki T, Sunaga S, Gokan T, Fujii M, Sato K, Negishi T, Shiraishi A, Ogura T, Doi K. [Quantitative evaluation of low contrast detectability in a brain computed tomography: investigation for the effect of window width on recognition of hyperacute ischemic stroke]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2011; 67(11):1408-14.
    View in: PubMed
    Score: 0.088
  9. Muramatsu C, Schmidt RA, Shiraishi J, Li Q, Doi K. Presentation of similar images as a reference for distinction between benign and malignant masses on mammograms: analysis of initial observer study. J Digit Imaging. 2010 Oct; 23(5):592-602.
    View in: PubMed
    Score: 0.082
  10. Nakayama R, Abe H, Shiraishi J, Doi K. Potential usefulness of similar images in the differential diagnosis of clustered microcalcifications on mammograms. Radiology. 2009 Dec; 253(3):625-31.
    View in: PubMed
    Score: 0.081
  11. Sugimoto K, Shiraishi J, Moriyasu F, Saito K, Doi K. Improved detection of hepatic metastases with contrast-enhanced low mechanical-index pulse inversion ultrasonography during the liver-specific phase of sonazoid: observer performance study with JAFROC analysis. Acad Radiol. 2009 Jul; 16(7):798-809.
    View in: PubMed
    Score: 0.078
  12. Shiraishi J, Abe H, Ichikawa K, Schmidt RA, Doi K. Observer study for evaluating potential utility of a super-high-resolution LCD in the detection of clustered microcalcifications on digital mammograms. J Digit Imaging. 2010 Apr; 23(2):161-9.
    View in: PubMed
    Score: 0.078
  13. Li Q, Li F, Doi K. Computerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier. Acad Radiol. 2008 Feb; 15(2):165-75.
    View in: PubMed
    Score: 0.072
  14. Pereira RR, Azevedo Marques PM, Honda MO, Kinoshita SK, Engelmann R, Muramatsu C, Doi K. Usefulness of texture analysis for computerized classification of breast lesions on mammograms. J Digit Imaging. 2007 Sep; 20(3):248-55.
    View in: PubMed
    Score: 0.070
  15. Shiraishi J, Appelbaum D, Pu Y, Li Q, Pesce L, Doi K. Usefulness of temporal subtraction images for identification of interval changes in successive whole-body bone scans: JAFROC analysis of radiologists' performance. Acad Radiol. 2007 Aug; 14(8):959-66.
    View in: PubMed
    Score: 0.069
  16. Kakeda S, Kamada K, Hatakeyama Y, Aoki T, Korogi Y, Katsuragawa S, Doi K. Effect of temporal subtraction technique on interpretation time and diagnostic accuracy of chest radiography. AJR Am J Roentgenol. 2006 Nov; 187(5):1253-9.
    View in: PubMed
    Score: 0.066
  17. Shiraishi J, Abe H, Li F, Engelmann R, MacMahon H, Doi K. Computer-aided diagnosis for the detection and classification of lung cancers on chest radiographs ROC analysis of radiologists' performance. Acad Radiol. 2006 Aug; 13(8):995-1003.
    View in: PubMed
    Score: 0.065
  18. Nie Y, Li Q, Li F, Pu Y, Appelbaum D, Doi K. Integrating PET and CT information to improve diagnostic accuracy for lung nodules: A semiautomatic computer-aided method. J Nucl Med. 2006 Jul; 47(7):1075-80.
    View in: PubMed
    Score: 0.064
  19. Li F, Arimura H, Suzuki K, Shiraishi J, Li Q, Abe H, Engelmann R, Sone S, MacMahon H, Doi K. Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization. Radiology. 2005 Nov; 237(2):684-90.
    View in: PubMed
    Score: 0.062
  20. Hirai T, Korogi Y, Arimura H, Katsuragawa S, Kitajima M, Yamura M, Yamashita Y, Doi K. Intracranial aneurysms at MR angiography: effect of computer-aided diagnosis on radiologists' detection performance. Radiology. 2005 Nov; 237(2):605-10.
    View in: PubMed
    Score: 0.061
  21. Abe H, Ishida T, Shiraishi J, Li F, Katsuragawa S, Sone S, Macmahon H, Doi K. Effect of temporal subtraction images on radiologists' detection of lung cancer on CT: results of the observer performance study with use of film computed tomography images. Acad Radiol. 2004 Dec; 11(12):1337-43.
    View in: PubMed
    Score: 0.058
  22. Li F, Aoyama M, Shiraishi J, Abe H, Li Q, Suzuki K, Engelmann R, Sone S, Macmahon H, Doi K. Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy. AJR Am J Roentgenol. 2004 Nov; 183(5):1209-15.
    View in: PubMed
    Score: 0.057
  23. Okazaki H, Nakamura K, Watanabe H, Matsuki Y, Uozumi T, Kakeda S, Kamada K, Oda N, Nakata H, Katsuragawa S, Doi K. Improved detection of lung cancer arising in diffuse lung diseases on chest radiographs using temporal subtraction. Acad Radiol. 2004 May; 11(5):498-505.
    View in: PubMed
    Score: 0.055
  24. Morishita J, Katsuragawa S, Sasaki Y, Doi K. Potential usefulness of biological fingerprints in chest radiographs for automated patient recognition and identification. Acad Radiol. 2004 Mar; 11(3):309-15.
    View in: PubMed
    Score: 0.055
  25. Kakeda S, Moriya J, Sato H, Aoki T, Watanabe H, Nakata H, Oda N, Katsuragawa S, Yamamoto K, Doi K. Improved detection of lung nodules on chest radiographs using a commercial computer-aided diagnosis system. AJR Am J Roentgenol. 2004 Feb; 182(2):505-10.
    View in: PubMed
    Score: 0.054
  26. Abe H, Ashizawa K, Li F, Matsuyama N, Fukushima A, Shiraishi J, MacMahon H, Doi K. Artificial neural networks (ANNs) for differential diagnosis of interstitial lung disease: results of a simulation test with actual clinical cases. Acad Radiol. 2004 Jan; 11(1):29-37.
    View in: PubMed
    Score: 0.054
  27. Li Q, Li F, Shiraishi J, Katsuragawa S, Sone S, Doi K. Investigation of new psychophysical measures for evaluation of similar images on thoracic computed tomography for distinction between benign and malignant nodules. Med Phys. 2003 Oct; 30(10):2584-93.
    View in: PubMed
    Score: 0.053
  28. Uchiyama Y, Katsuragawa S, Abe H, Shiraishi J, Li F, Li Q, Zhang CT, Suzuki K, Doi K. Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography. Med Phys. 2003 Sep; 30(9):2440-54.
    View in: PubMed
    Score: 0.053
  29. Shiraishi J, Abe H, Engelmann R, Aoyama M, MacMahon H, Doi K. Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance--initial experience. Radiology. 2003 May; 227(2):469-74.
    View in: PubMed
    Score: 0.052
  30. Shimosegawa M, Aoyama M, Li Q, Abe H, Li F, Shiraishi J, Doi K. [Report on the 88th Scientific Assembly and Annual Meeting of the Radiological Society of North America: development of an image processing scheme for chest radiographs by using a dot printer]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2003 May; 59(5):619-20.
    View in: PubMed
    Score: 0.052
  31. Abe H, MacMahon H, Engelmann R, Li Q, Shiraishi J, Katsuragawa S, Aoyama M, Ishida T, Ashizawa K, Metz CE, Doi K. Computer-aided diagnosis in chest radiography: results of large-scale observer tests at the 1996-2001 RSNA scientific assemblies. Radiographics. 2003 Jan-Feb; 23(1):255-65.
    View in: PubMed
    Score: 0.051
  32. Armato SG, Li F, Giger ML, MacMahon H, Sone S, Doi K. Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology. 2002 Dec; 225(3):685-92.
    View in: PubMed
    Score: 0.050
  33. Beiden SV, Wagner RF, Doi K, Nishikawa RM, Freedman M, Lo SC, Xu XW. Independent versus sequential reading in ROC studies of computer-assist modalities: analysis of components of variance. Acad Radiol. 2002 Sep; 9(9):1036-43.
    View in: PubMed
    Score: 0.049
  34. Shimosegawa M, Aoyama M, Li Q, Abe H, Li F, Shiraishi J, Doi K. [Development of an image processing scheme for chest radiographs using a dot printer]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2002 Sep; 58(9):1268-77.
    View in: PubMed
    Score: 0.049
  35. Kakeda S, Nakamura K, Kamada K, Watanabe H, Nakata H, Katsuragawa S, Doi K. Improved detection of lung nodules by using a temporal subtraction technique. Radiology. 2002 Jul; 224(1):145-51.
    View in: PubMed
    Score: 0.049
  36. Matsuki Y, Nakamura K, Watanabe H, Aoki T, Nakata H, Katsuragawa S, Doi K. Usefulness of an artificial neural network for differentiating benign from malignant pulmonary nodules on high-resolution CT: evaluation with receiver operating characteristic analysis. AJR Am J Roentgenol. 2002 Mar; 178(3):657-63.
    View in: PubMed
    Score: 0.048
  37. Abe H, Ashizawa K, Katsuragawa S, MacMahon H, Doi K. Use of an artificial neural network to determine the diagnostic value of specific clinical and radiologic parameters in the diagnosis of interstitial lung disease on chest radiographs. Acad Radiol. 2002 Jan; 9(1):13-7.
    View in: PubMed
    Score: 0.047
  38. Jiang Y, Nishikawa RM, Schmidt RA, Toledano AY, Doi K. Potential of computer-aided diagnosis to reduce variability in radiologists' interpretations of mammograms depicting microcalcifications. Radiology. 2001 Sep; 220(3):787-94.
    View in: PubMed
    Score: 0.046
  39. Uozumi T, Nakamura K, Watanabe H, Nakata H, Katsuragawa S, Doi K. ROC analysis of detection of metastatic pulmonary nodules on digital chest radiographs with temporal subtraction. Acad Radiol. 2001 Sep; 8(9):871-8.
    View in: PubMed
    Score: 0.046
  40. Morishita J, Katsuragawa S, Kondo K, Doi K. An automated patient recognition method based on an image-matching technique using previous chest radiographs in the picture archiving and communication system environment. Med Phys. 2001 Jun; 28(6):1093-7.
    View in: PubMed
    Score: 0.045
  41. Nakamura K, Yoshida H, Engelmann R, MacMahon H, Katsuragawa S, Ishida T, Ashizawa K, Doi K. Computerized analysis of the likelihood of malignancy in solitary pulmonary nodules with use of artificial neural networks. Radiology. 2000 Mar; 214(3):823-30.
    View in: PubMed
    Score: 0.042
  42. Shiraishi J, Katsuragawa S, Ikezoe J, Matsumoto T, Kobayashi T, Komatsu K, Matsui M, Fujita H, Kodera Y, Doi K. 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. AJR Am J Roentgenol. 2000 Jan; 174(1):71-4.
    View in: PubMed
    Score: 0.041
  43. MacMahon H, Engelmann R, Behlen FM, Hoffmann KR, Ishida T, Roe C, Metz CE, Doi K. Computer-aided diagnosis of pulmonary nodules: results of a large-scale observer test. Radiology. 1999 Dec; 213(3):723-6.
    View in: PubMed
    Score: 0.041
  44. Doi K, MacMahon H, Katsuragawa S, Nishikawa RM, Jiang Y. Computer-aided diagnosis in radiology: potential and pitfalls. Eur J Radiol. 1999 Aug; 31(2):97-109.
    View in: PubMed
    Score: 0.040
  45. Ashizawa K, MacMahon H, Ishida T, Nakamura K, Vyborny CJ, Katsuragawa S, Doi K. Effect of an artificial neural network on radiologists' performance in the differential diagnosis of interstitial lung disease using chest radiographs. AJR Am J Roentgenol. 1999 May; 172(5):1311-5.
    View in: PubMed
    Score: 0.039
  46. Ashizawa K, Ishida T, MacMahon H, Vyborny CJ, Katsuragawa S, Doi K. Artificial neural networks in chest radiography: application to the differential diagnosis of interstitial lung disease. Acad Radiol. 1999 Jan; 6(1):2-9.
    View in: PubMed
    Score: 0.038
  47. Jiang Y, Nishikawa RM, Schmidt RA, Metz CE, Giger ML, Doi K. Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol. 1999 Jan; 6(1):22-33.
    View in: PubMed
    Score: 0.038
  48. Monnier-Cholley L, MacMahon H, Katsuragawa S, Morishita J, Ishida T, Doi K. Computer-aided diagnosis for detection of interstitial opacities on chest radiographs. AJR Am J Roentgenol. 1998 Dec; 171(6):1651-6.
    View in: PubMed
    Score: 0.038
  49. Ishida T, Katsuragawa S, Ashizawa K, MacMahon H, Doi K. Application of artificial neural networks for quantitative analysis of image data in chest radiographs for detection of interstitial lung disease. J Digit Imaging. 1998 Nov; 11(4):182-92.
    View in: PubMed
    Score: 0.038
  50. Zhang W, Yoshida H, Nishikawa RM, Doi K. Optimally weighted wavelet transform based on supervised training for detection of microcalcifications in digital mammograms. Med Phys. 1998 Jun; 25(6):949-56.
    View in: PubMed
    Score: 0.037
  51. Huo Z, Giger ML, Vyborny CJ, Wolverton DE, Schmidt RA, Doi K. Automated computerized classification of malignant and benign masses on digitized mammograms. Acad Radiol. 1998 Mar; 5(3):155-68.
    View in: PubMed
    Score: 0.036
  52. Difazio MC, MacMahon H, Xu XW, Tsai P, Shiraishi J, Armato SG, Doi K. Digital chest radiography: effect of temporal subtraction images on detection accuracy. Radiology. 1997 Feb; 202(2):447-52.
    View in: PubMed
    Score: 0.034
  53. Kobayashi T, Xu XW, MacMahon H, Metz CE, Doi K. Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs. Radiology. 1996 Jun; 199(3):843-8.
    View in: PubMed
    Score: 0.032
  54. Jiang Y, Nishikawa RM, Wolverton DE, Metz CE, Giger ML, Schmidt RA, Vyborny CJ, Doi K. Malignant and benign clustered microcalcifications: automated feature analysis and classification. Radiology. 1996 Mar; 198(3):671-8.
    View in: PubMed
    Score: 0.031
  55. Wu Y, Doi K, Metz CE, Asada N, Giger ML. Simulation studies of data classification by artificial neural networks: potential applications in medical imaging and decision making. J Digit Imaging. 1993 May; 6(2):117-25.
    View in: PubMed
    Score: 0.026
  56. Li F, Engelmann R, Pesce LL, Doi K, Metz CE, Macmahon H. Small lung cancers: improved detection by use of bone suppression imaging--comparison with dual-energy subtraction chest radiography. Radiology. 2011 Dec; 261(3):937-49.
    View in: PubMed
    Score: 0.023
  57. Li F, Engelmann R, Doi K, MacMahon H. Improved detection of small lung cancers with dual-energy subtraction chest radiography. AJR Am J Roentgenol. 2008 Apr; 190(4):886-91.
    View in: PubMed
    Score: 0.018
  58. Matake K, Yoshimitsu K, Kumazawa S, Higashida Y, Irie H, Asayama Y, Nakayama T, Kakihara D, Katsuragawa S, Doi K, Honda H. Usefulness of artificial neural network for differential diagnosis of hepatic masses on CT images. Acad Radiol. 2006 Aug; 13(8):951-62.
    View in: PubMed
    Score: 0.016
  59. Fukushima A, Ashizawa K, Yamaguchi T, Matsuyama N, Hayashi H, Kida I, Imafuku Y, Egawa A, Kimura S, Nagaoki K, Honda S, Katsuragawa S, Doi K, Hayashi K. Application of an artificial neural network to high-resolution CT: usefulness in differential diagnosis of diffuse lung disease. AJR Am J Roentgenol. 2004 Aug; 183(2):297-305.
    View in: PubMed
    Score: 0.014
  60. van Ginneken B, Katsuragawa S, ter Haar Romeny BM, Doi K, Viergever MA. Automatic detection of abnormalities in chest radiographs using local texture analysis. IEEE Trans Med Imaging. 2002 Feb; 21(2):139-49.
    View in: PubMed
    Score: 0.012
  61. Armato SG, Giger ML, Moran CJ, Blackburn JT, Doi K, MacMahon H. Computerized detection of pulmonary nodules on CT scans. Radiographics. 1999 Sep-Oct; 19(5):1303-11.
    View in: PubMed
    Score: 0.010
  62. Yoshida H, Doi K, Nishikawa RM, Giger ML, Schmidt RA. An improved computer-assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms. Acad Radiol. 1996 Aug; 3(8):621-7.
    View in: PubMed
    Score: 0.008
  63. Zhang W, Doi K, Giger ML, Nishikawa RM, Schmidt RA. An improved shift-invariant artificial neural network for computerized detection of clustered microcalcifications in digital mammograms. Med Phys. 1996 Apr; 23(4):595-601.
    View in: PubMed
    Score: 0.008
  64. Metz CE, Wagner RF, Doi K, Brown DG, Nishikawa RM, Myers KJ. Toward consensus on quantitative assessment of medical imaging systems. Med Phys. 1995 Jul; 22(7):1057-61.
    View in: PubMed
    Score: 0.008
  65. Wu YC, Doi K, Giger ML. Detection of lung nodules in digital chest radiographs using artificial neural networks: a pilot study. J Digit Imaging. 1995 May; 8(2):88-94.
    View in: PubMed
    Score: 0.007
  66. Wu YC, Doi K, Giger ML, Metz CE, Zhang W. Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme. J Digit Imaging. 1994 Nov; 7(4):196-207.
    View in: PubMed
    Score: 0.007
  67. Zhang W, Doi K, Giger ML, Wu Y, Nishikawa RM, Schmidt RA. Computerized detection of clustered microcalcifications in digital mammograms using a shift-invariant artificial neural network. Med Phys. 1994 Apr; 21(4):517-24.
    View in: PubMed
    Score: 0.007
  68. Yin FF, Giger ML, Doi K, Vyborny CJ, Schmidt RA. Computerized detection of masses in digital mammograms: investigation of feature-analysis techniques. J Digit Imaging. 1994 Feb; 7(1):18-26.
    View in: PubMed
    Score: 0.007
  69. Hoffmann KR, MacMahon H, Doi K, Metz CE, Yao L, Abe K. Evaluation of an enhanced digital film-duplication system by receiver operating characteristic analysis. Invest Radiol. 1993 Dec; 28(12):1134-8.
    View in: PubMed
    Score: 0.007
  70. Matsumoto T, Doi K, Kano A, Nakamura H, Nakanishi T. [Evaluation of the potential benefit of computer-aided diagnosis (CAD) for lung cancer screenings using photofluorography: analysis of an observer study]. Nihon Igaku Hoshasen Gakkai Zasshi. 1993 Oct 25; 53(10):1195-207.
    View in: PubMed
    Score: 0.007
  71. Yin FF, Giger ML, Vyborny CJ, Doi K, Schmidt RA. Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses. Invest Radiol. 1993 Jun; 28(6):473-81.
    View in: PubMed
    Score: 0.007
  72. Wu Y, Giger ML, Doi K, Vyborny CJ, Schmidt RA, Metz CE. Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer. Radiology. 1993 Apr; 187(1):81-7.
    View in: PubMed
    Score: 0.006
  73. Nakamori N, Doi K, MacMahon H, Sasaki Y, Montner S. Effect of heart-size parameters computed from digital chest radiographs on detection of cardiomegaly. Potential usefulness for computer-aided diagnosis. Invest Radiol. 1991 Jun; 26(6):546-50.
    View in: PubMed
    Score: 0.006
  74. MacMahon H, Sanada S, Doi K, Giger M, Xu XW, Yin FF, Montner SM, Carlin M. Direct comparison of conventional and computed radiography with a dual-image recording technique. Radiographics. 1991 Mar; 11(2):259-68.
    View in: PubMed
    Score: 0.006
  75. MacMahon H, Doi K, Sanada S, Montner SM, Giger ML, Metz CE, Nakamori N, Yin FF, Xu XW, Yonekawa H, et al. Data compression: effect on diagnostic accuracy in digital chest radiography. Radiology. 1991 Jan; 178(1):175-9.
    View in: PubMed
    Score: 0.006
  76. Asada N, Doi K, MacMahon H, Montner SM, Giger ML, Abe C, Wu Y. Potential usefulness of an artificial neural network for differential diagnosis of interstitial lung diseases: pilot study. Radiology. 1990 Dec; 177(3):857-60.
    View in: PubMed
    Score: 0.005
  77. Chan HP, Doi K, Vyborny CJ, Schmidt RA, Metz CE, Lam KL, Ogura T, Wu YZ, MacMahon H. Improvement in radiologists' detection of clustered microcalcifications on mammograms. The potential of computer-aided diagnosis. Invest Radiol. 1990 Oct; 25(10):1102-10.
    View in: PubMed
    Score: 0.005
  78. Giger ML, Doi K, MacMahon H, Metz CE, Yin FF. Pulmonary nodules: computer-aided detection in digital chest images. Radiographics. 1990 Jan; 10(1):41-51.
    View in: PubMed
    Score: 0.005
  79. MacMahon H, Metz CE, Doi K, Kim T, Giger ML, Chan HP. Digital chest radiography: effect on diagnostic accuracy of hard copy, conventional video, and reversed gray scale video display formats. Radiology. 1988 Sep; 168(3):669-73.
    View in: PubMed
    Score: 0.005
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.