Samuel G. Armato to Diagnosis, Computer-Assisted
This is a "connection" page, showing publications Samuel G. Armato has written about Diagnosis, Computer-Assisted.
Connection Strength
2.156
-
The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth". Acad Radiol. 2007 Dec; 14(12):1455-63.
Score: 0.254
-
Computerized analysis of mesothelioma on CT scans. Lung Cancer. 2005 Jul; 49 Suppl 1:S41-4.
Score: 0.212
-
Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program(1). Acad Radiol. 2005 Mar; 12(3):337-46.
Score: 0.210
-
Lung image database consortium: developing a resource for the medical imaging research community. Radiology. 2004 Sep; 232(3):739-48.
Score: 0.203
-
Image annotation for conveying automated lung nodule detection results to radiologists. Acad Radiol. 2003 Sep; 10(9):1000-7.
Score: 0.190
-
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging. Med Phys. 2023 Feb; 50(2):e1-e24.
Score: 0.181
-
Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology. 2002 Dec; 225(3):685-92.
Score: 0.180
-
Evaluation of computer-aided detection and diagnosis systems. Med Phys. 2013 Aug; 40(8):087001.
Score: 0.094
-
Quality assurance and training procedures for computer-aided detection and diagnosis systems in clinical use. Med Phys. 2013 Jul; 40(7):077001.
Score: 0.094
-
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. Med Phys. 2011 Feb; 38(2):915-31.
Score: 0.079
-
The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: a resource for the development of change-analysis software. Clin Pharmacol Ther. 2008 Oct; 84(4):448-56.
Score: 0.067
-
Current state and future directions of pleural mesothelioma imaging. Lung Cancer. 2008 Mar; 59(3):411-20.
Score: 0.064
-
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. Acad Radiol. 2007 Dec; 14(12):1464-74.
Score: 0.064
-
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: 0.064
-
Assessment methodologies and statistical issues for computer-aided diagnosis of lung nodules in computed tomography: contemporary research topics relevant to the lung image database consortium. Acad Radiol. 2004 Apr; 11(4):462-75.
Score: 0.049
-
Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging. J Am Coll Radiol. 2024 Feb; 21(2):341-343.
Score: 0.048
-
Computerized detection of pulmonary nodules on CT scans. Radiographics. 1999 Sep-Oct; 19(5):1303-11.
Score: 0.036
-
Computerized analysis of abnormal asymmetry in digital chest radiographs: evaluation of potential utility. J Digit Imaging. 1999 Feb; 12(1):34-42.
Score: 0.034
-
Computerized delineation and analysis of costophrenic angles in digital chest radiographs. Acad Radiol. 1998 May; 5(5):329-35.
Score: 0.033