137 citations · 252 across the 25 of their papers we have counts for
4 papers · 1 filter
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation
Bryar Shareef, Alex Vakanski, Min Xian +1
Breast tumor segmentation is a critical task in computer-aided diagnosis (CAD) systems for breast cancer detection because accurate tumor size, shape and location are important for…
A Review of Computational Approaches for Evaluation of Rehabilitation Exercises
Yalin Liao, Aleksandar Vakanski, Min Xian +2
Recent advances in data analytics and computer-aided diagnostics stimulate the vision of patient-centric precision healthcare, where treatment plans are customized based on the hea…
Stan: Small tumor-aware network for breast ultrasound image segmentation
Bryar Shareef, Min Xian, Aleksandar Vakanski
Breast tumor segmentation provides accurate tumor boundary, and serves as a key step toward further cancer quantification. Although deep learning-based approaches have been propose…
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images
Haotian Wang, Min Xian, Aleksandar Vakanski
Separating overlapped nuclei is a major challenge in histopathology image analysis. Recently published approaches have achieved promising overall performance on public datasets; ho…