Zobrazeno 1 - 10
of 212
pro vyhledávání: '"Cai, Chang"'
Autor:
Dongdong Zheng, Jin Zhou, Lang Qian, XueJiao Liu, Cai Chang, Shuang Tang, Hongbo Zhang, Shichong Zhou
Publikováno v:
Bioactive Materials. 22:567-587
In clinical practice, we noticed that triple negative breast cancer (TNBC) patients had higher shear-wave elasticity (SWE) stiffness than non-TNBC patients and a higher α-SMA expression was found in TNBC tissues than the non-TNBC tissues. Moreover,
Publikováno v:
Academic Radiology. 30:453-460
To investigate the occult contralateral papillary thyroid carcinoma (PTC)-associated ultrasound (US) and clinical characteristics and establish a US-based model for the prediction of occult contralateral carcinoma in adolescents and young adults (AYA
Publikováno v:
Pattern Recognition Letters. 165:128-137
Autor:
Yang Gu, Wen Xu, Ting Liu, Xing An, Jiawei Tian, Haitao Ran, Weidong Ren, Cai Chang, Jianjun Yuan, Chunsong Kang, Youbin Deng, Hui Wang, Baoming Luo, Shenglan Guo, Qi Zhou, Ensheng Xue, Weiwei Zhan, Qing Zhou, Jie Li, Ping Zhou, Man Chen, Ying Gu, Wu Chen, Yuhong Zhang, Jianchu Li, Longfei Cong, Lei Zhu, Hongyan Wang, Yuxin Jiang
Publikováno v:
European Radiology. 33:2954-2964
To establish a breast lesion risk stratification system using ultrasound images to predict breast malignancy and assess Breast Imaging Reporting and Data System (BI-RADS) categories simultaneously.This multicenter study prospectively collected a data
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 26:4474-4485
Convolutional neural networks (CNNs) have been successfully applied in the computer-aided ultrasound diagnosis for breast cancer. Up to now, several CNN-based methods have been proposed. However, most of them consider tumor localization and classific
Autor:
Mengyun Qiao, Chencheng Liu, Zeju Li, Jin Zhou, Qin Xiao, Shichong Zhou, Cai Chang, Yajia Gu, Yi Guo, Yuanyuan Wang
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 26:3059-3067
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and ultrasound (US), which are two common modalities for clinical breast tumor diagnosis besides Mammograms, can provide different and complementary information for the same tumor regions
Publikováno v:
European Radiology. 32:6575-6587
Objective This study aimed to incorporate clinicopathological, sonographic, and mammographic characteristics to construct and validate a nomogram model for predicting disease-free survival (DFS) in patients with triple-negative breast cancer (TNBC).
Publikováno v:
Journal of High Energy Physics
The Kähler potentials of modular symmetry models receive unsuppressed contributions which may be controlled by a flavor symmetry, where the combination of the two symmetry types is referred to as eclectic flavor symmetry. After briefly reviewing the
Autor:
Wang, Jianying, Li, Tongliang, Song, Haoze, Yang, Xinjun, Zhou, Wenchao, Li, Feifei, Yan, Baoyue, Wu, Qianqian, Liang, Yukun, Ying, Chengjun, Wang, Yujie, Chen, Baokai, Cai, Chang, Ruan, Yubin, Weng, Xiaoyi, Chen, Shibin, Yin, Liang, Yang, Chengzhong, Cai, Xin, Xing, Hongyan, Yu, Nanlong, Chen, Xiaofei, Huang, Dapeng, Sun, Jianling
Cloud-native databases have become the de-facto choice for mission-critical applications on the cloud due to the need for high availability, resource elasticity, and cost efficiency. Meanwhile, driven by the increasing connectivity between data gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95b191f36f0e625329e617ca5af02383
http://arxiv.org/abs/2305.08468
http://arxiv.org/abs/2305.08468
Publikováno v:
Frontiers in Endocrinology. 14
PurposeThe detection of human epidermal growth factor receptor 2 (HER2) expression status is essential to determining the chemotherapy regimen for breast cancer patients and to improving their prognosis. We developed a deep learning radiomics (DLR) m