Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images-Reference-Cited by-同舟云学术

Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images

Published:2020-09-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
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Author:

Varghese Bino¹,Chen Frank¹,Hwang Darryl¹,Palmer Suzanne L.¹,De Castro Abreu Andre Luis²,Ukimura Osamu²,Aron Monish²,Aron Manju³,Gill Inderbir²,Duddalwar Vinay⁴,Pandey Gaurav⁵

Affiliation:

1. Department of Radiology, University of Southern California, Los Angeles, CA, USA

2. USC Institute of Urology, Los Angeles, CA, USA

3. Department of Pathology, University of Southern California, Los Angeles, CA, USA

4. Department of Radiology, University of Southern California, Los Angeles, CA, USA and USC Institute of Urology, Los Angeles, CA, USA

5. Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA

Funder

National Institute of General Medical Sciences

National Institutes of Health

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3388440.3414208

Reference72 articles.

1. High-risk prostate cancer—classification and therapy

2. Application of Prostate Imaging Reporting and Data System Version 2 (PI-RADS v2)

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