Search Results for author: Yingtao Zhang

Found 13 papers, 1 papers with code

Breast Anatomy Enriched Tumor Saliency Estimation

no code implementations23 Oct 2019 Fei Xu, Yingtao Zhang, Min Xian, H. D. Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

Then we refine the layers by integrating a non-semantic breast anatomy model to solve the problems of incomplete mammary layers.

Saliency Prediction

Fuzzy Semantic Segmentation of Breast Ultrasound Image with Breast Anatomy Constraints

no code implementations14 Sep 2019 Kuan Huang, Yingtao Zhang, H. D. Cheng, Ping Xing, Boyu Zhang

Due to low cost, portable, no radiation, and high efficiency, breast ultrasound (BUS) imaging is the most popular approach for diagnosing early breast cancer.

Image Augmentation Semantic Segmentation

Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling

no code implementations18 Jun 2019 Fei Xu, Yingtao Zhang, Min Xian, H. D. Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

First, we model breast anatomy and decompose breast ultrasound image into layers using Neutro-Connectedness; then utilize the layers to generate the foreground and background maps; and finally propose a novel objective function to estimate the tumor saliency by integrating the foreground map, background map, adaptive center bias, and region-based correlation cues.

Saliency Prediction

A Hybrid Framework for Tumor Saliency Estimation

no code implementations27 Jun 2018 Fei Xu, Min Xian, Yingtao Zhang, Kuan Huang, H. D. Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

Automatic tumor segmentation of breast ultrasound (BUS) image is quite challenging due to the complicated anatomic structure of breast and poor image quality.

Saliency Prediction Tumor Segmentation

Abstaining Classification When Error Costs are Unequal and Unknown

no code implementations9 Jun 2018 Hongjiao Guan, Yingtao Zhang, H. D. Cheng, Xianglong Tang

BA2 aims to obtain the optimal area under the ROC curve (AUC) by constraining the reject rates of the positive and negative classes respectively.

Classification General Classification

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

no code implementations13 Feb 2018 Boyu Zhang, Yingtao Zhang, H. D. Cheng, Min Xian, Shan Gai, Olivia Cheng, Kuan Huang

In this survey paper, we classify the existing methods by their principles and discuss the current research status and point out the future research trend in-depth.

MRI segmentation Semantic Segmentation

BUSIS: A Benchmark for Breast Ultrasound Image Segmentation

1 code implementation9 Jan 2018 Min Xian, Yingtao Zhang, H. D. Cheng, Fei Xu, Kuan Huang, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

Breast ultrasound (BUS) image segmentation is challenging and critical for BUS Comput-er-Aided Diagnosis (CAD) systems.

Tumor Segmentation

Neutro-Connectedness Cut

no code implementations19 Dec 2015 Min Xian, Yingtao Zhang, H. D. Cheng, Fei Xu, Jianrui Ding

Interactive image segmentation is a challenging task and receives increasing attention recently; however, two major drawbacks exist in interactive segmentation approaches.

Interactive Segmentation Semantic Segmentation

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