Samuel Armato to Observer Variation
This is a "connection" page, showing publications Samuel Armato has written about Observer Variation.
Connection Strength
1.152
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Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth". Acad Radiol. 2009 Jan; 16(1):28-38.
Score: 0.259
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Measurement of mesothelioma on thoracic CT scans: a comparison of manual and computer-assisted techniques. Med Phys. 2004 May; 31(5):1105-15.
Score: 0.188
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Observer variability in mesothelioma tumor thickness measurements: defining minimally measurable lesions. J Thorac Oncol. 2014 Aug; 9(8):1187-94.
Score: 0.095
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Variability of tumor area measurements for response assessment in malignant pleural mesothelioma. Med Phys. 2013 Aug; 40(8):081916.
Score: 0.089
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The influence of initial outlines on manual segmentation. Med Phys. 2010 May; 37(5):2153-8.
Score: 0.071
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The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth". Acad Radiol. 2007 Dec; 14(12):1455-63.
Score: 0.060
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The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans. Acad Radiol. 2007 Nov; 14(11):1409-21.
Score: 0.060
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Evaluation of lung MDCT nodule annotation across radiologists and methods. Acad Radiol. 2006 Oct; 13(10):1254-65.
Score: 0.055
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Variability in mesothelioma tumor response classification. AJR Am J Roentgenol. 2006 Apr; 186(4):1000-6.
Score: 0.054
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Evaluation of semiautomated measurements of mesothelioma tumor thickness on CT scans. Acad Radiol. 2005 Oct; 12(10):1301-9.
Score: 0.052
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Automated lung segmentation for thoracic CT impact on computer-aided diagnosis. Acad Radiol. 2004 Sep; 11(9):1011-21.
Score: 0.048
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Automated registration of frontal and lateral radionuclide lung scans with digital chest radiographs. Acad Radiol. 2000 Jul; 7(7):530-9.
Score: 0.036
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Automated lung segmentation in digital lateral chest radiographs. Med Phys. 1998 Aug; 25(8):1507-20.
Score: 0.031
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The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. Acad Radiol. 2007 Dec; 14(12):1464-74.
Score: 0.015
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The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements. Acad Radiol. 2007 Dec; 14(12):1475-85.
Score: 0.015
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Automated matching of temporally sequential CT sections. Med Phys. 2004 Dec; 31(12):3417-24.
Score: 0.012
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Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography. Med Phys. 2003 Jul; 30(7):1602-17.
Score: 0.011