208 citations · 284 across the 11 of their papers we have counts for
11 papers
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation
Changfa Shi, Min Xian, Xiancheng Zhou +2
Liver segmentation from abdominal CT images is an essential step for liver cancer computer-aided diagnosis and surgical planning. However, both the accuracy and robustness of exist…
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…
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…
CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning
Kaige Zhang, Yingtao Zhang, Heng-Da Cheng
Fully convolutional network is a powerful tool for per-pixel semantic segmentation/detection. However, it is problematic when coping with crack detection using partially accurate g…
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…
Abstaining Classification When Error Costs are Unequal and Unknown
Hongjiao Guan, Yingtao Zhang, H. D. Cheng +1
Abstaining classificaiton aims to reject to classify the easily misclassified examples, so it is an effective approach to increase the clasificaiton reliability and reduce the misc…
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…
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…
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…
Neutro-Connectedness Cut
Min Xian, Yingtao Zhang, H. D. Cheng +2
Interactive image segmentation is a challenging task and receives increasing attention recently; however, two major drawbacks exist in interactive segmentation approaches. First, t…
An algorithm for Left Atrial Thrombi detection using Transesophageal Echocardiography
Jianrui Ding, Min Xian, H. D. Cheng +3
Transesophageal echocardiography (TEE) is widely used to detect left atrium (LA)/left atrial appendage (LAA) thrombi. In this paper, the local binary pattern variance (LBPV) featur…