16 citations · 42 across the 9 of their papers we have counts for
5 papers · 1 filter
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks
Xiang Li, Jiechao Ma, Hongwei Li
Early diagnosis of pathological invasiveness of pulmonary adenocarcinomas using computed tomography (CT) imaging would alter the course of treatment of adenocarcinomas and subseque…
Automatic Calcium Scoring in Cardiac and Chest CT Using DenseRAUnet
Jiechao Ma, Rongguo Zhang
Cardiovascular disease (CVD) is a common and strong threat to human beings, featuring high prevalence, disability and mortality. The amount of coronary artery calcification (CAC) i…
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study
Jiechao Ma, Yingqian Chen, Yu Chen +4
Hepatocellular carcinoma (HCC) is the second most frequent cause of malignancy-related death and is one of the diseases with the highest incidence in the world. Because the liver i…
Cross-view Relation Networks for Mammogram Mass Detection
Jiechao Ma, Sen Liang, Xiang Li +4
Mammogram is the most effective imaging modality for the mass lesion detection of breast cancer at the early stage. The information from the two paired views (i.e., medio-lateral o…
Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks
Xiang Li, Chan Lu, Danni Cheng +5
Visible watermark plays an important role in image copyright protection and the robustness of a visible watermark to an attack is shown to be essential. To evaluate and improve the…