activity
20172023
most citedAutomatic Breast Ultrasound Image Segmentation: A Survey

18 citations · 45 across the 9 of their papers we have counts for

collaborators

9 papers

eess.IV2023

Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation

Mohammad Karimzadeh, Aleksandar Vakanski, Min Xian +1

Despite recent medical advancements, breast cancer remains one of the most prevalent and deadly diseases among women. Although machine learning-based Computer-Aided Diagnosis (CAD)…

cs.CV2021

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,…

cs.CV2019

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…

cs.CV2019★ 7 cited

Fuzzy Semantic Segmentation of Breast Ultrasound Image with Breast Anatomy Constraints

Kuan Huang, Yingtao Zhang, H. D. Cheng +2

Breast cancer is one of the most serious disease affecting women's health. Due to low cost, portable, no radiation, and high efficiency, breast ultrasound (BUS) imaging is the most…

cs.CV2019★ 6 cited

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…

cs.CV2018

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…

cs.CV2018★ 9 cited

Computer-Aided Knee Joint Magnetic Resonance Image Segmentation - A Survey

Boyu Zhang, Yingtao Zhang, H. D. Cheng +4

Osteoarthritis (OA) is one of the major health issues among the elderly population. MRI is the most popular technology to observe and evaluate the progress of OA course. However, t…

cs.CV2018★ 5 cited

BUSIS: A Benchmark for Breast Ultrasound Image Segmentation

Min Xian, Yingtao Zhang, H. D. Cheng +6

Breast ultrasound (BUS) image segmentation is challenging and critical for BUS Comput-er-Aided Diagnosis (CAD) systems. Many BUS segmentation approaches have been studied in the la…

cs.CV2017★ 18 cited

Automatic Breast Ultrasound Image Segmentation: A Survey

Min Xian, Yingtao Zhang, H. D. Cheng +3

Breast cancer is one of the leading causes of cancer death among women worldwide. In clinical routine, automatic breast ultrasound (BUS) image segmentation is very challenging and…