most citedDC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation

13 citations · 20 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2020★ 13 cited

DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation

Ange Lou, Shuyue Guan, Murray Loew

Recently, deep learning has become much more popular in computer vision area. The Convolution Neural Network (CNN) has brought a breakthrough in images segmentation areas, especial…

cs.LG2020★ 7 cited

Data Separability for Neural Network Classifiers and the Development of a Separability Index

Shuyue Guan, Murray Loew, Hanseok Ko

In machine learning, the performance of a classifier depends on both the classifier model and the dataset. For a specific neural network classifier, the training process varies wit…