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

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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]

This author has not been identified. Look up 'Heather M. Whitney' in GoogleThis author has not been identified. Look up 'Yu Ji' in GoogleThis author has not been identified. Look up 'Hui Li' in GoogleThis author has not been identified. Look up 'Alexandra Edwards' in GoogleThis author has not been identified. Look up 'John Papaioannou' in GoogleThis author has not been identified. Look up 'Peifang Liu' in GoogleThis author has not been identified. Look up 'Maryellen L. Giger' in Google

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