Search Results - "Xue, EnSheng"

Reply to comment on predicting the risk stratification of gastrointestinal stromal tumors using machine learning‑based ultrasound radiomics by Zhuo, Minling, Tang, Yi, Guo, Jingjing, Qian, Qingfu, Xue, Ensheng, Chen, Zhikui

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N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation by Nie, Xingqing, Zhou, Xiaogen, Tong, Tong, Lin, Xingtao, Wang, Luoyan, Zheng, Haonan, Li, Jing, Xue, Ensheng, Chen, Shun, Zheng, Meijuan, Chen, Cong, Du, Min

“…Medical image segmentation is an essential component of computer-aided diagnosis (CAD) systems. Thyroid nodule segmentation using ultrasound images is a…”
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A Multi-Scale Densely Connected Convolutional Neural Network for Automated Thyroid Nodule Classification by Wang, Luoyan, Zhou, Xiaogen, Nie, Xingqing, Lin, Xingtao, Li, Jing, Zheng, Haonan, Xue, Ensheng, Chen, Shun, Chen, Cong, Du, Min, Tong, Tong, Gao, Qinquan, Zheng, Meijuan

“…Automated thyroid nodule classification in ultrasound images is an important way to detect thyroid nodules and to make a more accurate diagnosis. In this…”
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Deep learning based on ultrasound images assists breast lesion diagnosis in China: a multicenter diagnostic study by Gu, Yang, Xu, Wen, Lin, Bin, An, Xing, Tian, Jiawei, Ran, Haitao, Ren, Weidong, Chang, Cai, Yuan, Jianjun, Kang, Chunsong, Deng, Youbin, Wang, Hui, Luo, Baoming, Guo, Shenglan, Zhou, Qi, Xue, Ensheng, Zhan, Weiwei, Zhou, Qing, Li, Jie, Zhou, Ping, Chen, Man, Gu, Ying, Chen, Wu, Zhang, Yuhong, Li, Jianchu, Cong, Longfei, Zhu, Lei, Wang, Hongyan, Jiang, Yuxin

“…Background Studies on deep learning (DL)-based models in breast ultrasound (US) remain at the early stage due to a lack of large datasets for training and…”
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Corrigendum: N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation by Nie, Xingqing, Zhou, Xiaogen, Tong, Tong, Lin, Xingtao, Wang, Luoyan, Zheng, Haonan, Li, Jing, Xue, Ensheng, Chen, Shun, Zheng, Meijuan, Chen, Cong, Du, Min

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Ultrasonography-Based Classification and Reporting System for the Malignant Risk of Thyroid Nodules by Xue, Ensheng, Zheng, Meijuan, Zhang, Sufang, Huang, Liping, Qian, Qingfu, Huang, Yunlin

“…Objective: The aim of this study was to test the predictive value of a Thyroid Imaging Reporting and Data System (TI-RADS) for malignant thyroid nodules…”
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Application value of decision tree model based on ultrasonic signs in predicting the risk grade of gastrointestinal stromal tumors by GUO Jingjing, TANG Xiubin, CHEN Lei, QIAN Qingfu, LIN Liwu, XUE Ensheng, CHEN Zhikui

“…Background and purpose: The biological risk of gastrointestinal stromal tumor (GIST) can be divided into very low-risk, low-risk, moderate-risk and high-risk…”
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Ultrasound exposure improves the targeted therapy effects of galactosylated docetaxel nanoparticles on hepatocellular carcinoma xenografts by Wei, Hongfen, Huang, Jing, Yang, Jing, Zhang, Xiujuan, Lin, Liwu, Xue, Ensheng, Chen, Zhikui

“…The distribution of targeted nanoparticles in tumor tissue is affected by a combination of various factors such as the physicochemical properties of the…”
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Can Nonfibrotic Nonalcoholic Steatohepatitis Be Effectively Identified by Supersonic Shear Imaging? by Chen, Zhikui, Yang, Yan, Hong, Dengke, Xue, Ensheng, Lin, Liwu, Yang, Jiajia, Xu, Meifang

“…Supersonic shear imaging (SSI) is a relatively new technique to measure the elasticity of target tissues based on the shear wave propagation. The aim of this…”
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Effects of gradual low-flow reperfusion postconditioning on ischemia–reperfusion injury involving incomplete testicular torsion in rabbits by Xue, Ensheng, Guo, Jingjing, Huang, Mei, Zhang, Yu, Chen, Shun, Liang, Rongxi

“…Purpose The aim of this study was to investigate the impacts of gradual low-flow reperfusion postconditioning (GLFRP) on testicular ischemia–reperfusion injury…”
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High-frequency ultrasound findings in epididymal malformations by Xue, Ensheng, Chen, Shun, Liang, Rongxi, Lin, Xiaodong, Guo, Jingjing, Huang, Mei

“…Purpose This work aims to investigate high-frequency ultrasound findings in epididymal malformations and their clinical significance. Methods Eighty-five of…”
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Use of a Convolutional Neural Network to Predict the Malignant Potential of Gastrointestinal Stromal Tumors in Transabdominal Ultrasound Images: Visualization of the Focus of the Prediction Model by Zhuo, Minling, Chen, Xing, Tang, Yi, Guo, Jingjing, Tang, Xiubin, Qian, Qingfu, Xue, Ensheng, Chen, Zhikui

“…We established a deep convolutional neural network (CNN) model based on ultrasound images (US-CNN) for predicting the malignant potential of gastrointestinal…”
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Deep Learning‐Based Segmentation and Risk Stratification for Gastrointestinal Stromal Tumors in Transabdominal Ultrasound Imaging by Zhuo, Minling, Chen, Xing, Guo, Jingjing, Qian, Qingfu, Xue, Ensheng, Chen, Zhikui

“…Purpose To develop a deep neural network system for the automatic segmentation and risk stratification prediction of gastrointestinal stromal tumors (GISTs)…”
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H-Net: A dual-decoder enhanced FCNN for automated biomedical image diagnosis by Zhou, Xiaogen, Nie, Xingqing, Li, Zhiqiang, Lin, Xingtao, Xue, Ensheng, Wang, Luoyan, Lan, Junlin, Chen, Gang, Du, Min, Tong, Tong

“…Skin lesions and thyroid cancer have become diseases with a high incidence. The computer-aided diagnosis (CAD) system for dermatological diseases offers one of…”
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Shear-wave elastography predicts T-restaging and pathologic complete response of rectal cancer post neoadjuvant chemoradiotherapy by Qian, Qingfu, Zhuo, Minling, Chen, Xing, Zeng, Banwei, Tang, Yi, Xue, Ensheng, Lin, Xiaodong, Chen, Zhikui

“…Purpose To investigate the value of shear-wave elastography (SWE) in assessing the response to neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal…”
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Associations between contrast-enhanced ultrasound features and WHO/ISUP grade of clear cell renal cell carcinoma: a retrospective study by Fan, Xiaoqing, Fu, Fen, Liang, Rongxi, Xue, Ensheng, Zhang, Huiping, Zhu, Yifan, Ye, Qin

“…Background Clear cell renal cell carcinoma (CCRCC) comprises 70%–80% of RCCs. The World Health Organization/International Society of Urology Pathology…”
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A Super-resolution Guided Network for Improving Automated Thyroid Nodule Segmentation by Lin, Xingtao, Zhou, Xiaogen, Tong, Tong, Nie, Xingqing, Wang, Luoyan, Zheng, Haonan, Li, Jing, Xue, Ensheng, Chen, Shun, Zheng, Meijuan, Chen, Cong, Jiang, Haiyan, Du, Min, Gao, Qinquan

“…•We propose a novel two-stage framework based on super-resolution reconstruction to suppress noise and improve image quality for improving thyroid nodules…”
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Using shear wave elastography method to evaluate testicular compartment syndrome after testicular torsion by Lin, Wenjin, Li, Zhiyong, Xue, Ensheng, Chen, Shun, Liang, Rongxi

“…The measurement of compartment pressure is a direct method to objectively evaluate suspected compartment syndrome. However, to evaluate the evolving…”
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2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS by Zhou, JianQiao, Yin, LiXue, Wei, Xi, Zhang, Sheng, Song, YanYan, Luo, BaoMing, Li, JianChu, Qian, LinXue, Cui, LiGang, Chen, Wen, Wen, ChaoYang, Peng, YuLan, Chen, Qin, Lu, Man, Chen, Min, Wu, Rong, Zhou, Wei, Xue, EnSheng, Li, YingJia, Yang, LiChun, Mi, ChengRong, Zhang, RuiFang, Wu, Gang, Du, GuoQing, Huang, DaoZhong, Zhan, WeiWei

“…Thyroid nodules are very common all over the world, and China is no exception. Ultrasound plays an important role in determining the risk stratification of…”
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The Ultrasonographic Characteristics of Focal Fibrocystic Change of the Breast and Analysis of Misdiagnosis by Lin, Xueying, He, Yimi, Fu, Shiwei, Lin, Si, Xue, Ensheng, Lin, Liwu

“…To investigate ultrasonographic features and analyze causes of misdiagnosis of focal fibrocystic change (FC) of the breast. The ultrasonographic features of 95…”
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