Search Results - "Yuan, Kehong"

Low-dose CT reconstruction via edge-preserving total variation regularization by Tian, Zhen, Jia, Xun, Yuan, Kehong, Pan, Tinsu, Jiang, Steve B

“…High radiation dose in computed tomography (CT) scans increases the lifetime risk of cancer and has become a major clinical concern. Recently, iterative…”
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An Improved Whale Optimization Algorithm Based on Nonlinear Parameters and Feedback Mechanism by Sun, Guanglei, Shang, Youlin, Yuan, Kehong, Gao, Huimin

“…Whale optimization algorithm, as a relatively novel swarm-based intelligence optimization algorithm, has been extensively utilized in numerous scientific and…”
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AI-assisted Method for Efficiently Generating Breast Ultrasound Screening Reports by Ge, Shuang, Ye, Qiongyu, Xie, Wenquan, Sun, Desheng, Zhang, Huabin, Zhou, Xiaobo, Yuan, Kehong

“…Ultrasound is one of the preferred choices for early screening of dense breast cancer. Clinically, doctors have to manually write the screening report, which…”
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Ultrasonic Diagnosis of Breast Nodules Using Modified Faster R-CNN by Zhang, Zihao, Zhang, Xuesheng, Lin, Xiaona, Dong, Licong, Zhang, Sure, Zhang, Xueling, Sun, Desheng, Yuan, Kehong

“…Breast cancer has become the biggest threat to female health. Ultrasonic diagnosis of breast cancer based on artificial intelligence is basically a…”
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Effects of Differential Geometry Parameters on Grid Generation and Segmentation of MRI Brain Image by Zhu, Yongpei, Zhou, Zicong, Liao, Guojun, Yang, Qianxi, Yuan, Kehong

“…Accurate segmentation of brain tissue in magnetic resonance images (MRI) is a difficult task due to different types of brain abnormalities. In this paper, we…”
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A New Framework to Reduce Doctor's Workload for Medical Image Annotation by Deng, Yang, Sun, Yao, Zhu, Yongpei, Xu, Yue, Yang, Qianxi, Zhang, Shuo, Wang, Zhanyu, Sun, Jirang, Zhao, Weiling, Zhou, Xiaobo, Yuan, Kehong

“…Accurate annotation of the medical image is the crucial step for image artificial intelligence (AI) clinical application. However, annotating medical image…”
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An Adaptive Window-Setting Scheme for Segmentation of Bladder Tumor Surface via MR Cystography by Duan, Chaijie, Yuan, Kehong, Liu, Fanghua, Xiao, Ping, Lv, Guoqing, Liang, Zhengrong

“…This paper proposes an adaptive window-setting scheme for noninvasive detection and segmentation of bladder tumor surface in T_1 -weighted magnetic resonance…”
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Volume-Based Features for Detection of Bladder Wall Abnormal Regions via MR Cystography by Duan, Chaijie, Yuan, Kehong, Liu, Fanghua, Xiao, Ping, Lv, Guoqing, Liang, Zhengrong

“…This paper proposes a framework for detecting the suspected abnormal region of the bladder wall via magnetic resonance (MR) cystography. Volume-based features…”
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Brain CT image database building for computer-aided diagnosis using content-based image retrieval by Yuan, Kehong, Tian, Zhen, Zou, Jiying, Bai, Yanling, You, Qingshan

“…Content-based image retrieval for medical images is a primary technique for computer-aided diagnosis. While it is a premise for computer-aided diagnosis system…”
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Sparse p-norm Nonnegative Matrix Factorization for clustering gene expression data by Liu, Weixiang, Yuan, Kehong

“…Nonnegative Matrix Factorization (NMF) is a powerful tool for gene expression data analysis as it reduces thousands of genes to a few compact metagenes,…”
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Assessment of Pelvic Tilt in Anteroposterior Radiographs by Area Ratio Based on Deep Learning by Xian, Jianming, Sun, Jingwei, Xie, Ruimou, Yang, Fei, Huang, Jiaqi, Yuan, Kehong, Pan, Yu, Luo, Zhendong

“…Diagnostics. Based on deep learning semantic segmentation model, we sought to assess pelvic tilt by area ratio of the lesser pelvic and the obturator foramen…”
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Accurate and rapid CT image segmentation of the eyes and surrounding organs for precise radiotherapy by Sun, Yao, Shi, Huabei, Zhang, Shuo, Wang, Pei, Zhao, Weiling, Zhou, Xiaobo, Yuan, Kehong

“…Objective The precise segmentation of organs at risk (OARs) is of importance for improving therapeutic outcomes and reducing injuries of patients undergoing…”
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Precision of glucose measurement in Intralipid suspensions with optical coherence tomography by Shu Feng, Kehong Yuan, Datian Ye

“…Optical coherence tomography (OCT) presents its capability of noninvasive glucose measurement in tissue-simulating phantoms and biological tissues. However,…”
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Diagnosis system of computer-aided brain MRI using content-based image retrieval by Kehong Yuan, Shu Feng, Wufan Chen, Shaowei Jia, Ping Xiao

“…Retrieving images is a useful tool to help radiologist to check medical image and diagnosis. In this paper, we propose a retrieval system of computer aided…”
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Artificial Intelligence Medical Ultrasound Equipment: Application of Breast Lesions Detection by Zhang, Xuesheng, Lin, Xiaona, Zhang, Zihao, Dong, Licong, Sun, Xinlong, Sun, Desheng, Yuan, Kehong

“…Breast cancer ranks first among cancers affecting women’s health. Our work aims to realize the intelligence of the medical ultrasound equipment with limited…”
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Respiratory motion blur identification and reduction in ungated thoracic PET imaging by Xu, Quansheng, Yuan, Kehong, Ye, Datian

“…Respiratory motion results in significant motion blur in thoracic positron emission tomography (PET) imaging. Existing approaches to correct the blurring…”
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Cardiac Segmentation Method Based on Domain Knowledge by Wang, Yingni, Chen, Wenbin, Tang, Tianhong, Xie, Wenquan, Jiang, Yong, Zhang, Huabin, Zhou, Xiaobo, Yuan, Kehong

“…Echocardiography plays an important role in the clinical diagnosis of cardiovascular diseases. Cardiac function assessment by echocardiography is a crucial…”
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Roundness curve for classification of cell phase on microscopic image by Kehong Yuan, Jiying Zou, Shu Feng, Chaijie Duan, Shanglian Bao, Qiansheng Cheng

“…Object shape recognition is important for cell microscopic image. Previous works have used circularity to describe the shape feature for different objects. In…”
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BCAU-Net: A Novel Architecture with Binary Channel Attention Module for MRI Brain Segmentation by Zhu, Yongpei, Zhou, Zicong, Liao, Guojun, Yuan, Kehong

“…Recently deep learning-based networks have achieved advanced performance in medical image segmentation. However, the development of deep learning is slow in…”
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A New Unsupervised Learning Method for 3D Deformable Medical Image Registration by Zhu, Yongpei, Zhou, Zicong, Liao, Guojun, Yuan, Kehong

“…Accurate registration of medical images is vital for doctor's diagnosis and quantitative analysis. In this paper, we propose a new unsupervised learning…”
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