Pilot study to evaluate tools to collect pathologist annotations for validating machine learning algorithms

Author:

Elfer Katherine1,Dudgeon Sarah2,Garcia Victor1,Blenman Kim3,Hytopoulos Evangelos4,Wen Si1,Li Xiaoxian5,Ly Amy6,Werness Bruce7,Sheth Manasi S.8,Amgad Mohamed9,Gupta Rajarsi10,Saltz Joel10,Hanna Matthew G.11,Ehinger Anna12,Peeters Dieter13,Salgado Roberto14,Gallas Brandon D.1

Affiliation:

1. United States Food and Drug Administration, Center for Devices and Radiological Health, Office of Science and Engineering Laboratories, Division of Imaging Diagnostics & Software Reliability, Silver Spring, Maryland, United States

2. Yale University Computational Biology and Bioinformatics, New Haven, Connecticut, United States

3. School of Medicine, Yale Cancer Center, Department of Internal Medicine, Section of Medical Oncology, New Haven, Connecticut, United States

4. iRhythm Technologies Inc., San Francisco, California, United States

5. Emory University School of Medicine, Department of Pathology and Laboratory Medicine, Atlanta, Georgia, United States

6. Massachusetts General Hospital, Boston, Massachusetts, United States

7. Inova Health System Department of Pathology, Falls Church, Virginia, United States

8. United States Food and Drug Administration (FDA), Center for Devices and Radiologic Health, Office of Product Evaluation and Quality, Office of Clinical Evidence and Analysis, Division of Biostatistics, White Oak, Maryland, United States

9. Northwestern University Feinberg School of Medicine, Department of Pathology, Chicago, Illinois, United States

10. SUNY Stony Brook Medicine, Department of Biomedical Informatics, Stony Brook, New York, United States

11. Memorial Sloan Kettering Cancer Center, New York, New York, United States

12. Lund University, Laboratory Medicine, Region Skåne, Department of Genetics and Pathology, Lund, Sweden

13. Sint-Maarten Hospital, Department of Pathology, Mechelen, Belgium

14. Peter Mac Callum Cancer Centre, Division of Research, Melbourne, Australia

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

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