MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis

Author:

Drukker Karen1,Sahiner Berkman2,Hu Tingting2,Kim Grace Hyun3,Whitney Heather M.1,Baughan Natalie1,Myers Kyle J.4,Giger Maryellen L.1,McNitt-Gray Michael3

Affiliation:

1. University of Chicago, Department of Radiology, Chicago, Illinois, United States

2. U.S. Food and Drug Administration, Bethesda, Maryland, United States

3. University of California Los Angeles, Los Angeles, California, United States

4. Puente Solutions, Phoenix, Arizona, United States

Publisher

SPIE-Intl Soc Optical Eng

Reference39 articles.

1. The Medical Imaging and Data Resource Center

2. MIDRC MetricTree

3. Basic principles of ROC analysis

4. A survey on performance metrics for object-detection algorithms;Padilla,2020

5. AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging

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