11 citations · 15 across the 3 of their papers we have counts for
5 papers
DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed Radiographs
Pengyi Zhang, Yunxin Zhong, Yulin Deng +2
Automated infection measurement and COVID-19 diagnosis based on Chest X-ray (CXR) imaging is important for faster examination. We propose a novel approach, called DRR4Covid, to lea…
Learning Diagnosis of COVID-19 from a Single Radiological Image
Pengyi Zhang, Yunxin Zhong, Xiaoying Tang +2
Radiological image is currently adopted as the visual evidence for COVID-19 diagnosis in clinical. Using deep models to realize automated infection measurement and COVID-19 diagnos…
ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation
Pengyi Zhang, Yunxin Zhong, Xiaoqiong Li
We propose adversarial constrained-CNN loss, a new paradigm of constrained-CNN loss methods, for weakly supervised medical image segmentation. In the new paradigm, prior knowledge…
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
Pengyi Zhang, Yunxin Zhong, Yulin Deng +2
The success of deep learning has been witnessed as a promising technique for computer-aided biomedical image analysis, due to end-to-end learning framework and availability of larg…
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications
Pengyi Zhang, Yunxin Zhong, Xiaoqiong Li
Drones or general Unmanned Aerial Vehicles (UAVs), endowed with computer vision function by on-board cameras and embedded systems, have become popular in a wide range of applicatio…