NIMG-71. IDENTIFYING CLINICALLY APPLICABLE MACHINE LEARNING ALGORITHMS FOR GLIOMA SEGMENTATION USING A SYSTEMATIC LITERATURE REVIEW

Authors: Niklas Tillmanns, Avery Lum, W R Brim, Harry Subramanian, Ming Lin, Khaled Bousabarah, Ajay Malhotra, Jin cui, Alexandria Brackett, Sam Payabvash, Ichiro Ikuta, Michele Johnson, Bernd Turowski, Mariam Aboian

Published: 2021-11-18

DOI: 10.1093/neuonc/noab196.568

Source: Full article

NIMG-71. IDENTIFYING CLINICALLY APPLICABLE MACHINE LEARNING ALGORITHMS FOR GLIOMA SEGMENTATION USING A SYSTEMATIC LITERATURE REVIEW

Abstract