Deep learning on Screening Data
Principal Investigator
Name
Elliot Smith
Degrees
Ph.D
Institution
Maxwell MRI
Position Title
CTO
Email
elliot@maxwellmri.com
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-328
Initial CDAS Request Approval
Nov 27, 2017
Title
Deep learning on Screening Data
Summary
Utilising collected screening information to develop better predictors through deep learning.
Aims
Determine the applicability of deep learning to automated analysis of data collected during screening.
Collaborators
Paula Tattam, Maxwell MRI
Rebecca Simpson, Maxwell MRI
Matthew Brown, Maxwell MRI
Related Publications
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Advancing Traditional Prostate-specific Antigen Kinetics in the Detection of Prostate Cancer: A Machine Learning Model.
Perera M, Smith L, Thompson I, Breemer G, Papa N, Patel MI, Swindle P, Smith E
Eur Urol Focus. 2021 Dec 14 PUBMED -
PSA-based machine learning model improves prostate cancer risk stratification in a screening population.
Perera M, Mirchandani R, Papa N, Breemer G, Effeindzourou A, Smith L, Swindle P, Smith E
World J Urol. 2020 Aug 3 PUBMED