Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions

Heather M. Whitney, Yu Ji, Hui Li, Alexandra Edwards, John Papaioannou, Peifang Liu, Maryellen L. Giger. Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2, 397 breast lesions. In Kensaku Mori, Horst K. Hahn, editors, Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2019. Volume 10950 of SPIE Proceedings, SPIE, 2019. [doi]

Abstract

Abstract is missing.