13 citations · 25 across the 12 of their papers we have counts for
7 papers · 1 filter
U-CFR: Uncertainty-Guided Cascade Forward Refinement for Interactive Segmentation
Elijah Danquah Darko, Min Xian, Terence Soule +2
Interactive image segmentation is critical for efficient image annotation; however, existing methods often require many corrective clicks or rely on passive refinement schemes that…
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images
Boyu Zhang, Aleksandar Vakanski, Min Xian
In healthcare, it is essential to explain the decision-making process of machine learning models to establish the trustworthiness of clinicians. This paper introduces BI-RADS-Net,…
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…
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…
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 Hybrid Framework for Tumor Saliency Estimation
Fei Xu, Min Xian, Yingtao Zhang +6
Automatic tumor segmentation of breast ultrasound (BUS) image is quite challenging due to the complicated anatomic structure of breast and poor image quality. Most tumor segmentati…