245 citations · 923 across the 38 of their papers we have counts for
4 papers · 1 filter
Breast Anatomy Enriched Tumor Saliency Estimation
Fei Xu, Yingtao Zhang, Min Xian +5
Breast cancer investigation is of great significance, and developing tumor detection methodologies is a critical need. However, it is a challenging task for breast ultrasound due t…
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images
Aleksandar Vakanski, Min Xian, Phoebe Freer
Incorporating human domain knowledge for breast tumor diagnosis is challenging, since shape, boundary, curvature, intensity, or other common medical priors vary significantly acros…
Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling
Fei Xu, Yingtao Zhang, Min Xian +5
Tumor saliency estimation aims to localize tumors by modeling the visual stimuli in medical images. However, it is a challenging task for breast ultrasound due to the complicated a…
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises
Y. Liao, A. Vakanski, M. Xian
Computer-aided assessment of physical rehabilitation entails evaluation of patient performance in completing prescribed rehabilitation exercises, based on processing movement data…