Challenge of Directly Comparing Imaging-Based Diagnoses Made by Machine Learning Algorithms With Those Made by Human Clinicians.

Journal: Journal of clinical oncology : official journal of the American Society of Clinical Oncology

Published Date: Apr 9, 2020

No abstract available for this article.

Aaron B Simon

Aaron B. Simon, MD, PhD and Lucas K. Vitzthum, MD, Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA; and Loren K. Mell, MD, Department of Radiation Medicine and Applied Sciences, University of California San Diego, and Center for Precision Radiation Medicine, La Jolla, CA.
Lucas K Vitzthum

Aaron B. Simon, MD, PhD and Lucas K. Vitzthum, MD, Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA; and Loren K. Mell, MD, Department of Radiation Medicine and Applied Sciences, University of California San Diego, and Center for Precision Radiation Medicine, La Jolla, CA.
Loren K Mell

Aaron B. Simon, MD, PhD and Lucas K. Vitzthum, MD, Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA; and Loren K. Mell, MD, Department of Radiation Medicine and Applied Sciences, University of California San Diego, and Center for Precision Radiation Medicine, La Jolla, CA.

Algorithms Deep Learning Extranodal Extension Head and Neck Neoplasms Humans Machine Learning Squamous Cell Carcinoma of Head and Neck

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