29 citations · 46 across the 4 of their papers we have counts for
4 papers
UNGT: Ultrasound Nasogastric Tube Dataset for Medical Image Analysis
Zhaoshan Liu, Chau Hung Lee, Qiujie Lv +2
We develop a novel ultrasound nasogastric tube (UNGT) dataset to address the lack of public nasogastric tube datasets. The UNGT dataset includes 493 images gathered from 110 patien…
Segmenting Medical Images with Limited Data
Zhaoshan Liua, Qiujie Lv, Chau Hung Lee +1
While computer vision has proven valuable for medical image segmentation, its application faces challenges such as limited dataset sizes and the complexity of effectively leveragin…
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…
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…