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A Machine Learning-Driven Approach to Predict the Outcome o..:
, In:
Advances in Computer Vision and Computational Biology; Transactions on Computational Science and Computational Intelligence
,
Pfail, John L.
;
Lundon, Dara J.
;
Ratnani, Parita
... - p. 591-600 , 2021
Link:
https://doi.org/10.1007/978-3-030-71051-4_46
RT T1 <cTitle>Advances in Computer Vision and Computational Biology; Transactions on Computational Science and Computational Intelligence</cTitle>: T1 <Title>A Machine Learning-Driven Approach to Predict the Outcome of Prostate Biopsy: Identifying Cancer, Clinically Significant Disease, and Unfavorable Pathological Features on Prostate Biopsy</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-030-71051-4_46&Exemplar=1&LAN=DE A1 Pfail, John L. A1 Lundon, Dara J. A1 Ratnani, Parita A1 Wagaskar, Vinayak A1 Wiklund, Peter A1 Tewari, Ashutosh K. PB Springer International Publishing YR 2021 SP 591 OP 600 LK http://dx.doi.org/https://doi.org/10.1007/978-3-030-71051-4_46 DO https://doi.org/10.1007/978-3-030-71051-4_46 SF ELIB - SuUB Bremen
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