Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help

Kenny H. Cha, Alexej Gossmann, Nicholas Petrick, Berkman Sahiner. Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help. In Frank W. Samuelson, Sian Taylor-Phillips, editors, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, Houston, TX, USA, February 15-20, 2020. Volume 11316 of SPIE Proceedings, SPIE, 2020. [doi]

Abstract

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