57 citations · 101 across the 8 of their papers we have counts for
5 papers · 1 filter
Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images
Yibao Sun, Giussepi Lopez, Yaqi Wang +3
Cancer segmentation in whole-slide images is a fundamental step for viable tumour burden estimation, which is of great value for cancer assessment. However, factors like vague boun…
Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-ray Images
Jingxiong Li, Yaqi Wang, Shuai Wang +4
Coronavirus disease 2019 (COVID-19) is one of the most destructive pandemic after millennium, forcing the world to tackle a health crisis. Automated lung infections classification…
An Adaptive Enhancement Based Hybrid CNN Model for Digital Dental X-ray Positions Classification
Yaqi Wang, Lingling Sun, Yifang Zhang +3
Analysis of dental radiographs is an important part of the diagnostic process in daily clinical practice. Interpretation by an expert includes teeth detection and numbering. In thi…
A cascade network for Detecting COVID-19 using chest x-rays
Dailin Lv, Wuteng Qi, Yunxiang Li +2
The worldwide spread of pneumonia caused by a novel coronavirus poses an unprecedented challenge to the world's medical resources and prevention and control measures. Covid-19 atta…
DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation
Hanxiao Zhang, Jingxiong Li, Mali Shen +2
Segmentation of brain tumors and their subregions remains a challenging task due to their weak features and deformable shapes. In this paper, three patterns (cross-skip, skip-1 and…