125 citations · 174 across the 7 of their papers we have counts for
5 papers · 1 filter
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis
Zhaoshan Liu, Qiujie Lv, Yifan Li +2
Data augmentation (DA) has been widely leveraged in computer vision to alleviate data shortage, while its application in medical imaging faces multiple challenges. The prevalent DA…
CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image Classification
Zhaoshan Liu, Lei Shen
The COVID-19 pandemic has resulted in hundreds of million cases and numerous deaths worldwide. Here, we develop a novel classification network CECT by controllable ensemble convolu…
Recent Progress in Transformer-based Medical Image Analysis
Zhaoshan Liu, Qiujie Lv, Ziduo Yang +3
The transformer is primarily used in the field of natural language processing. Recently, it has been adopted and shows promise in the computer vision (CV) field. Medical image anal…
GSDA: Generative Adversarial Network-based Semi-Supervised Data Augmentation for Ultrasound Image Classification
Zhaoshan Liu, Qiujie Lv, Chau Hung Lee +1
Medical Ultrasound (US) is one of the most widely used imaging modalities in clinical practice, but its usage presents unique challenges such as variable imaging quality. Deep Lear…
Deep Co-supervision and Attention Fusion Strategy for Automatic COVID-19 Lung Infection Segmentation on CT Images
Haigen Hu, Leizhao Shen, Qiu Guan +3
Due to the irregular shapes,various sizes and indistinguishable boundaries between the normal and infected tissues, it is still a challenging task to accurately segment the infecte…