to edit your profile (add a photo, awards, links to other websites, etc.)
Edit My Profile
My Person List (
Return to Top
Search Result Details
Back to Search Results
This page shows the details of why an item matched the keywords from your search.
Armato, Samuel G.
One or more keywords matched the following items that are connected to
Armato, Samuel G.
Automated matching of temporally sequential CT sections.
Vessel tree reconstruction in thoracic CT scans with application to nodule detection.
Temporal subtraction in chest radiography: automated assessment of registration accuracy.
Evaluation of lung MDCT nodule annotation across radiologists and methods.
Measurement of mesothelioma on thoracic CT scans: a comparison of manual and computer-assisted techniques.
Evaluation of semiautomated measurements of mesothelioma tumor thickness on CT scans.
Automated detection of lung nodules in CT scans: false-positive reduction with the radial-gradient index.
Automated lung segmentation of diseased and artifact-corrupted magnetic resonance sections.
Mixture of expert 3D massive-training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography.
The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans.
QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications.
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis.
AI in medical imaging grand challenges: translation from competition to research benefit and patient care.
Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging.