1 citations · 1 across the 2 of their papers we have counts for
3 papers
eess.IV2022
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers
Shuyue Guan, Murray Loew
Instead of using current deep-learning segmentation models (like the UNet and variants), we approach the segmentation problem using trained Convolutional Neural Network (CNN) class…
cs.LG2021★ 1 cited
A Novel Intrinsic Measure of Data Separability
Shuyue Guan, Murray Loew
In machine learning, the performance of a classifier depends on both the classifier model and the separability/complexity of datasets. To quantitatively measure the separability of…
eess.IV2020
Unsupervised domain adaptation based COVID-19 CT infection segmentation network
Han Chen, Yifan Jiang, Murray Loew +1
Automatic segmentation of infection areas in computed tomography (CT) images has proven to be an effective diagnosis approach for COVID-19. However, due to the limited number of pi…