1 code implementation • 26 Aug 2020 • Pengyi Zhang, Yunxin Zhong, Yulin Deng, Xiaoying Tang, Xiaoqiong Li
The infection-aware DRR generator is able to produce DRRs with adjustable strength of radiological signs of COVID-19 infection, and generate pixel-level infection annotations that match the DRRs precisely.
1 code implementation • arXiv:2006.12220 2020 • Pengyi Zhang, Yunxin Zhong, Xiaoying Tang, Yunlin Deng, Xiaoqiong Li
To address this problem, we explore the feasibility of learning deep models for COVID-19 diagnosis from a single radiological image by resorting to synthesizing diverse radiological images.
1 code implementation • 1 May 2020 • Pengyi Zhang, Yunxin Zhong, Xiaoqiong Li
In the new paradigm, prior knowledge is encoded and depicted by reference masks, and is further employed to impose constraints on segmentation outputs through adversarial learning with reference masks.
1 code implementation • 1 Aug 2019 • Pengyi Zhang, Yunxin Zhong, Yulin Deng, Xiaoying Tang, Xiaoqiong Li
In order to accelerate the clinical usage of biomedical image analysis based on deep learning techniques, we intentionally expand this survey to include the explanation methods for deep models that are important to clinical decision making.
2 code implementations • 25 Jul 2019 • 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 applications.