Výsledky vyhledávání

Akademický článek

Differentiating solitary brain metastases from glioblastoma by radiomics features derived from MRI and 18F-FDG-PET and the combined application of multiple models

Autor: Xu Cao, Duo Tan, Zhi Liu, Meng Liao, Yubo Kan, Rui Yao, Liqiang Zhang, Lisha Nie, Ruikun Liao, Shanxiong Chen, Mingguo Xie

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)

Abstract This study aimed to explore the ability of radiomics derived from both MRI and 18F-fluorodeoxyglucose positron emission tomography (18F-FDG-PET) images to differentiate glioblastoma (GBM) from solitary brain metastases (SBM) and to investiga

Externí odkaz: https://doaj.org/article/c30730b94e314f289c9f73e68c83ec93

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

3D visualization model construction based on generative adversarial networks

Autor: Xiaojuan Liu, Shangbo Zhou, Sheng Wu, Duo Tan, Rui Yao

Publikováno v: PeerJ Computer Science, Vol 8, p e768 (2022)

The development of computer vision technology is rapid, which supports the automatic quality control of precision components efficiently and reliably. This paper focuses on the application of computer vision technology in manufacturing quality contro

Externí odkaz: https://doaj.org/article/93ba0613889b4b48bfb06db5fc739cc7

Zobrazit plný text záznamu

Akademický článek

An Integrated Radiomics Model Incorporating Diffusion-Weighted Imaging and 18F-FDG PET Imaging Improves the Performance of Differentiating Glioblastoma From Solitary Brain Metastases

Autor: Liqiang Zhang, Rui Yao, Jueni Gao, Duo Tan, Xinyi Yang, Ming Wen, Jie Wang, Xiangxian Xie, Ruikun Liao, Yao Tang, Shanxiong Chen, Yongmei Li

Publikováno v: Frontiers in Oncology, Vol 11 (2021)

BackgroundThe effectiveness of conventional MRI (cMRI)-based radiomics in differentiating glioblastoma (GBM) from solitary brain metastases (SBM) is not satisfactory enough. Therefore, we aimed to develop an integrated radiomics model to improve the

Externí odkaz: https://doaj.org/article/4ac365ffaf864688a7099990ad8c6170

Zobrazit plný text záznamu

Akademický článek

Merging Multiphase CTA Images and Training Them Simultaneously with a Deep Learning Algorithm Could Improve the Efficacy of AI Models for Lateral Circulation Assessment in Ischemic Stroke

Autor: Jingjie Wang, Duo Tan, Jiayang Liu, Jiajing Wu, Fusen Huang, Hua Xiong, Tianyou Luo, Shanxiong Chen, Yongmei Li

Publikováno v: Diagnostics, Vol 12, Iss 7, p 1562 (2022)

We aimed to build a deep learning-based, objective, fast, and accurate collateral circulation assessment model. We included 92 patients who had suffered acute ischemic stroke (AIS) with large vessel occlusion in the anterior circulation in this study

Externí odkaz: https://doaj.org/article/5c0deeecc8c84e23b06131162274e316

Zobrazit plný text záznamu

Plný text ve formátu HTML

Management of the Pre-hospital Emergency Transport Strategy During the Novel Coronavirus Pneumonia Epidemic in Zhuzhou City, China in Zhuzhou City, China

Autor: Yin Tao, Mi-Duo Tan, Tao-Li Wang, Xin-Sheng Zheng, Yin Chen, Jing Zhou, Jia-Ying Huang, Yi He, Ri-Hong Bin

Publikováno v: Acupuncture & Electro-Therapeutics Research. 47:195-201

Objective: Summarize the experience of transporting patients in the pre-hospital emergency center of our hospital from January 20, 2020 to May 2020 during the outbreak of novel coronavirus pneumonia in Zhuzhou City, and formulate a series of transpor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7a280e39d2ca2cde4ab9e7f5ebdcc03f
https://doi.org/10.3727/036012921x16298112109475

Zobrazit plný text záznamu

CCA4CTA: A Hybrid Attention Mechanism based Convolutional Network for Analysing Collateral Circulation via Multi-phase Cranial CTA

Autor: Duo Tan, Jingjie Wang, Rui Yao, Jiayang Liu, Jiajing Wu, Shiyu Zhu, Ye Yang, Shanxiong Chen, Yongmei Li

Publikováno v: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::47063a9d1a444c96d4dda31b15d0d037
https://doi.org/10.1109/bibm55620.2022.9995381

Zobrazit plný text záznamu

MBH-Net: Multi-branch Hybrid Network with Auxiliary Attention Guidance for Large Vessel Occlusion Detection

Autor: Rui Yao, Duo Tan, Ye Yang, Yongmei Li, Jiayang Liu, Jiajing Wu, Shanxiong Chen, Jingjie Wang

Publikováno v: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::430fb41ea4627e17905417b46f4058fa
https://doi.org/10.1109/bibm55620.2022.9995268

Zobrazit plný text záznamu

Fusion Branch Network with Class Learning Difficulty Loss Function for Recongnizition of Haematoma Expansion Signs in Intracerebral Haemorrhage

Autor: Ye Yang, Shanxiong Chen, Duo Tan, Rui Yao, Shiyu Zhu, Yuanyuan Jia, Wensong Yang, Yiqing Shen

Publikováno v: 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e73c092f63450eecd1637c83f752ee25
https://doi.org/10.1109/bibm52615.2021.9669423

Zobrazit plný text záznamu

Differentiating solitary brain metastases from glioblastoma by radiomics features derived from MRI and 18F-FDG-PET and the combined application of multiple models

Autor: Xu Cao, Duo Tan, Zhi Liu, Meng Liao, Yubo Kan, Rui Yao, Liqiang Zhang, Lisha Nie, Ruikun Liao, Shanxiong Chen, Mingguo Xie

Publikováno v: Scientific reports. 12(1)

This study aimed to explore the ability of radiomics derived from both MRI and 18F-fluorodeoxyglucose positron emission tomography (18F-FDG-PET) images to differentiate glioblastoma (GBM) from solitary brain metastases (SBM) and to investigate the co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2eeb93be16e18df12f403a43b05dc175
https://pubmed.ncbi.nlm.nih.gov/35388124

Zobrazit plný text záznamu

NUPR1 promotes the proliferation and migration of breast cancer cells by activating TFE3 transcription to induce autophagy

Autor: Mi-Duo Tan, Jing Long, Heng Xiao, Xiang Chen

Publikováno v: Experimental Cell Research. 418:113234

Background: Breast cancer is a commonplace carcinoma in females. Recurrence and metastasis are the main problems affecting the survival rate of patients. The fundamental reason is the lack of understanding of the mechanism of breast cancer metastasis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6c0bc0b7d5aab7b4dcacc0cf46db837
https://doi.org/10.1016/j.yexcr.2022.113234

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání