no code implementations • 11 May 2021 • Marc Boubnovski Martell, Mitchell Chen, Kristofer Linton-Reid, Joram M. Posma, Susan J Copley, Eric O. Aboagye
Diseased lung regions often produce high-density zones on CT images, limiting an algorithm's execution to specify damaged lobes due to oblique or lacking fissures.
1 code implementation • 10 Jun 2020 • Fahdi Kanavati, Shah Islam, Zohaib Arain, Eric O. Aboagye, Andrea Rockall
The output consisted of a segmented muscle mass on a CT slice at the level of L3 vertebra.
1 code implementation • 22 Nov 2018 • Fahdi Kanavati, Shah Islam, Eric O. Aboagye, Andrea Rockall
The analysis of single CT slices extracted at the third lumbar vertebra (L3) has garnered significant clinical interest in the past few years, in particular in regards to quantifying sarcopenia (muscle loss).
no code implementations • 30 Jul 2018 • Vanya V. Valindria, Ioannis Lavdas, Juan Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
Our experiments show that the proposed approach can boost the segmentation accuracy of multiple small organs in whole-body MRI scans.
1 code implementation • 1 Jun 2018 • Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
The variations in multi-center data in medical imaging studies have brought the necessity of domain adaptation.
no code implementations • 11 Feb 2017 • Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
In RCA we take the predicted segmentation from a new image to train a reverse classifier which is evaluated on a set of reference images with available ground truth.