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Armato, Samuel G.
One or more keywords matched the following items that are connected to
Armato, Samuel G.
Item Type
Name
Concept
Diagnosis, Computer-Assisted
Academic Article
Computerized analysis of abnormal asymmetry in digital chest radiographs: evaluation of potential utility.
Academic Article
Computerized delineation and analysis of costophrenic angles in digital chest radiographs.
Academic Article
Computerized detection of pulmonary nodules on CT scans.
Academic Article
Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program.
Academic Article
Image annotation for conveying automated lung nodule detection results to radiologists.
Academic Article
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.
Academic Article
Lung image database consortium: developing a resource for the medical imaging research community.
Academic Article
Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program(1).
Academic Article
Computerized analysis of mesothelioma on CT scans.
Academic Article
Current state and future directions of pleural mesothelioma imaging.
Academic Article
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.
Academic Article
The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth".
Academic Article
The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements.
Academic Article
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.
Academic Article
The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: a resource for the development of change-analysis software.
Academic Article
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
Academic Article
Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging.
Search Criteria
Diagnosis Computer Assisted