Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database

no code implementations • 28 Feb 2021 • Gareth Jones, Jim Parr, Perumal Nithiarasu, Sanjay Pant

When using all the six measurements, it is found that maximum F1 scores larger than 0. 9 are achieved for CAS and PAD, larger than 0. 85 for SAS, and larger than 0. 98 for both low- and high-severity AAAs.

BIG-bench Machine Learning

A proof of concept study for machine learning application to stenosis detection

no code implementations • 11 Feb 2021 • Gareth Jones, Jim Parr, Perumal Nithiarasu, Sanjay Pant

This proof of concept (PoC) assesses the ability of machine learning (ML) classifiers to predict the presence of a stenosis in a three vessel arterial system consisting of the abdominal aorta bifurcating into the two common iliacs.

BIG-bench Machine Learning