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]
@inproceedings{ChaGPS20,
title = {Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help},
author = {Kenny H. Cha and Alexej Gossmann and Nicholas Petrick and Berkman Sahiner},
year = {2020},
doi = {10.1117/12.2550538},
url = {https://doi.org/10.1117/12.2550538},
researchr = {https://researchr.org/publication/ChaGPS20},
cites = {0},
citedby = {0},
booktitle = {Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, Houston, TX, USA, February 15-20, 2020},
editor = {Frank W. Samuelson and Sian Taylor-Phillips},
volume = {11316},
series = {SPIE Proceedings},
publisher = {SPIE},
isbn = {9781510633995},
}