Search Results - "Heng-Da Cheng"

CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning by Zhang, Kaige, Zhang, Yingtao, Cheng, Heng-Da

“…Fully convolutional network is a powerful tool for per-pixel semantic segmentation/detection. However, it is problematic when coping with crack detection using…”
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Neutro-Connectedness Cut by Xian, Min, Zhang, Yingtao, Cheng, Heng-Da, Xu, Fei, Ding, Jianrui

“…Interactive image segmentation is a challenging task and receives increasing attention recently; however, two major drawbacks exist in interactive segmentation…”
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Bounded–abstaining classification for breast tumors in imbalanced ultrasound images by Guan, Hongjiao, Zhang, Yingtao, Cheng, Heng-Da, Tang, Xianglong

“…Computer-aided breast ultrasound (BUS) diagnosis remains a difficult task. One of the challenges is that imbalanced BUS datasets lead to poor performance,…”
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BUSIS: A Benchmark for Breast Ultrasound Image Segmentation by Zhang, Yingtao, Xian, Min, Cheng, Heng-Da, Shareef, Bryar, Ding, Jianrui, Xu, Fei, Huang, Kuan, Zhang, Boyu, Ning, Chunping, Wang, Ying

“…Breast ultrasound (BUS) image segmentation is challenging and critical for BUS computer-aided diagnosis (CAD) systems. Many BUS segmentation approaches have…”
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A Novel Fuzzy Relative-Position-Coding Transformer for Breast Cancer Diagnosis Using Ultrasonography by Guo, Yanhui, Jiang, Ruquan, Gu, Xin, Cheng, Heng-Da, Garg, Harish

“…Breast cancer is a leading cause of death in women worldwide, and early detection is crucial for successful treatment. Computer-aided diagnosis (CAD) systems…”
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Trustworthy Breast Ultrasound Image Semantic Segmentation Based on Fuzzy Uncertainty Reduction by Huang, Kuan, Zhang, Yingtao, Cheng, Heng-Da, Xing, Ping

“…Medical image semantic segmentation is essential in computer-aided diagnosis systems. It can separate tissues and lesions in the image and provide valuable…”
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A hierarchical approach to color image segmentation using homogeneity by Cheng, H D, Sun, Y

“…In this paper, a novel hierarchical approach to color image segmentation is studied. We extend the general idea of a histogram to the homogeneity domain. In…”
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Multi-slice low-rank tensor decomposition based multi-atlas segmentation: Application to automatic pathological liver CT segmentation by Shi, Changfa, Xian, Min, Zhou, Xiancheng, Wang, Haotian, Cheng, Heng-Da

“…•An MAS-based framework is proposed for pathological liver CT segmentation.•A multi-slice low-rank tensor decomposition (LRTD) scheme is introduced.•An…”
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Effect of a Novel Segmentation Algorithm on Radiologists’ Diagnosis of Breast Masses Using Ultrasound Imaging by Tian, Jia-Wei, Ning, Chun-Ping, Guo, Yan-Hui, Cheng, Heng-Da, Tang, Xiang-Long

“…Abstract We investigated the effect of using a novel segmentation algorithm on radiologists’ sensitivity and specificity for discriminating malignant masses…”
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A novel approach to microcalcification detection using fuzzy logic technique by Heng-Da Cheng, Yui Man Lui, Freimanis, R.I.

“…Breast cancer continues to be a significant public health problem in the United States. Approximately, 182,000 new cases of breast cancer are diagnosed and…”
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Masks based human action detection in crowded videos by Ping Guo, Zhenjiang Miao, Heng-Da Cheng

“…This paper discusses the task of human action detection in crowded videos. First, we propose a novel mask based shape matching method for action recognition…”
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A Computer‐Aided Diagnostic Algorithm Improves the Accuracy of Transesophageal Echocardiography for Left Atrial Thrombi by Sun, Lin, Li, Yang, Zhang, Ying Tao, Shen, Jing Xia, Xue, Feng Hua, Cheng, Heng Da, Qu, Xiu Fen

“…Objectives We investigated whether transesophageal echocardiography (TEE) assisted with a computer‐aided diagnostic (CAD) algorithm was superior to TEE in…”
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Usefulness of the heart-rate variability complex for predicting cardiac mortality after acute myocardial infarction by Song, Tao, Qu, Xiu Fen, Zhang, Ying Tao, Cao, Wei, Han, Bai He, Li, Yang, Piao, Jing Yan, Yin, Lei Lei, Da Cheng, Heng

“…Previous studies indicate that decreased heart-rate variability (HRV) is related to the risk of death in patients after acute myocardial infarction (AMI)…”
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A feature-dependent fuzzy bidirectional flow for adaptive image sharpening by Fu, Shujun, Ruan, Qiuqi, Wang, Wenqia, Gao, Fuzheng, Cheng, Heng-Da

“…In this paper, a fuzzy bidirectional flow framework based on generalized fuzzy set is presented to sharpen image by reducing its edge width, which performs a…”
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Efficient Dense-Dilation Network for Pavement Cracks Detection with Large Input Image Size by Zhang, Kaige, Cheng, Heng-Da, Gai, Shan

“…Window-sliding/region-proposal based methods have been the popular approaches for object detection with deep convolutional neural networks. However, these…”
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CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning by Zhang, Kaige, Zhang, Yingtao, Cheng, Heng-Da

“…Fully convolutional network is a powerful tool for per-pixel semantic segmentation/detection. However, it is problematic when coping with crack detection using…”
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Vehicle Detection and Classification Using Model-Based and Fuzzy Logic Approaches by Cheng, Heng-Da, Du, Haining, Hu, Liming, Glazier, Chris

“…Vehicle detection and classification information is invaluable in many transportation issues. Vehicle feature extraction and detection are the preprocesses…”
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Joint explorations by Wang, Paul P, Cheng, Heng-Da, Menzies, Anna

“…The 6th Joint Conference on Information Sciences was held in Research Triangle Park, North Carolina, USA, on 8–13 March 2002…”
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Synthesized images for pattern recognition by Miyojim, Mario, Cheng, Heng-Da

“…Since there is no generic procedure for machine pattern recognition due to its complexity, ad hoc computer algorithms have been developed for each class of…”
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Design of a hardware accelerator for real-time moment computation: a wavefront away approach by Hung, D.L., Heng-Da Cheng, Sengkhamyong, S.

“…In image processing, pattern recognition, and computer vision, one of the most powerful techniques for feature extraction is to use moments. Real-time…”
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