activity
20202022
most citedCFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation

16 citations · 31 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20222 cited

Self-Supervised Surgical Instrument 3D Reconstruction from a Single Camera Image

Ange Lou, Xing Yao, Ziteng Liu +2

Surgical instrument tracking is an active research area that can provide surgeons feedback about the location of their tools relative to anatomy. Recent tracking methods are mainly…

cs.CV202116 cited

CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation

Ange Lou, Shuyue Guan, Murray Loew

Currently, developments of deep learning techniques are providing instrumental to identify, classify, and quantify patterns in medical images. Segmentation is one of the important…

cs.CV2021

CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation

Ange Lou, Murray Loew

Real-time semantic segmentation is playing a more important role in computer vision, due to the growing demand for mobile devices and autonomous driving. Therefore, it is very impo…

eess.IV2020

Segmentation of Infrared Breast Images Using MultiResUnet Neural Network

Ange Lou, Shuyue Guan, Nada Kamona +1

Breast cancer is the second leading cause of death for women in the U.S. Early detection of breast cancer is key to higher survival rates of breast cancer patients. We are investig…

eess.IV202013 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…