Beyond the AJR: Applying Screening Algorithms (Artificially) Intelligently
Author:
Affiliation:
1. Department of Radiology, University of Alabama, Birmingham
Publisher
American Roentgen Ray Society
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Reference3 articles.
1. Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals
2. Martin, C. H. & Mahoney, M. W. (2018). Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning. 1-59. http://arxiv.org/abs/1810.01075
3. Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules
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