Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Xiangyang GONG"'
Publikováno v:
Journal of Bone Oncology, Vol 47, Iss , Pp 100627- (2024)
Purpose: This study aims to devise and assess an automated measurement framework for lumbar pedicle screw parameters leveraging preoperative computed tomography (CT) scans and a deep learning algorithm. Methods: A deep learning model was constructed
Externí odkaz:
https://doaj.org/article/70616c8b061a4ca7aeae606bca152141
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Small-field-of-view reconstruction CT images (sFOV-CT) increase the pixel density across airway structures and reduce partial volume effects. Multi-instance learning (MIL) is proposed as a weakly supervised machine learning method, which can
Externí odkaz:
https://doaj.org/article/88ae4132b13445728475409884f2a023
Autor:
Hanning Ying, Xiaoqing Liu, Min Zhang, Yiyue Ren, Shihui Zhen, Xiaojie Wang, Bo Liu, Peng Hu, Lian Duan, Mingzhi Cai, Ming Jiang, Xiangdong Cheng, Xiangyang Gong, Haitao Jiang, Jianshuai Jiang, Jianjun Zheng, Kelei Zhu, Wei Zhou, Baochun Lu, Hongkun Zhou, Yiyu Shen, Jinlin Du, Mingliang Ying, Qiang Hong, Jingang Mo, Jianfeng Li, Guanxiong Ye, Shizheng Zhang, Hongjie Hu, Jihong Sun, Hui Liu, Yiming Li, Xingxin Xu, Huiping Bai, Shuxin Wang, Xin Cheng, Xiaoyin Xu, Long Jiao, Risheng Yu, Wan Yee Lau, Yizhou Yu, Xiujun Cai
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Early and accurate diagnosis of focal liver lesions is crucial for effective treatment and prognosis. We developed and validated a fully automated diagnostic system named Liver Artificial Intelligence Diagnosis System (LiAIDS) based on a div
Externí odkaz:
https://doaj.org/article/2c32cc08247b432eb68a343ccb858ec6
Autor:
Guangying Zheng, Jie Hou, Zhenyu Shu, Jiaxuan Peng, Lu Han, Zhongyu Yuan, Xiaodong He, Xiangyang Gong
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Non-invasive identification of breast cancer (BCa) patients with pathological complete response (pCR) after neoadjuvant chemotherapy (NACT) is critical to determine appropriate surgical strategies and guide the resection range of
Externí odkaz:
https://doaj.org/article/d4918e2ec902448eac7bab9d8b39f03f
Publikováno v:
BMC Neurology, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background Cardiovascular diseases have been considered the primary cause of disability and death worldwide. Coronary artery calcium (CAC) is an important indicator of the severity of coronary atherosclerosis. This study is aimed to investig
Externí odkaz:
https://doaj.org/article/1f57af7bb8d648aaaa626c40751f4806
Autor:
Jie Hou, Hui Jin, Yongsheng Zhang, Yuyun Xu, Feng Cui, Xue Qin, Lu Han, Zhongyu Yuan, Guangying Zheng, Jiaxuan Peng, Zhenyu Shu, Xiangyang Gong
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
ObjectiveTo develop and validate a hybrid model incorporating CT-fractional flow reserve (CT-FFR), pericoronary fat attenuation index (pFAI), and radiomics signatures for predicting progression of white matter hyperintensity (WMH).MethodsA total of 2
Externí odkaz:
https://doaj.org/article/da040ee4994243ef84dfe7f40d2679e0
Autor:
Hui Jin, Jie Hou, Xue Qin, Xingyue Du, Guangying Zheng, Yu Meng, Zhenyu Shu, Yuguo Wei, Xiangyang Gong
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2023)
ObjectiveCoronary artery disease (CAD) usually coexists with subclinical cerebrovascular diseases given the systematic nature of atherosclerosis. In this study, our objective was to predict the progression of white matter hyperintensity (WMH) and fin
Externí odkaz:
https://doaj.org/article/dab85b75ba094762a0f1806a62cbe2ed
Publikováno v:
BMC Musculoskeletal Disorders, Vol 23, Iss 1, Pp 1-12 (2022)
Abstract Background The analysis of sagittal intervertebral rotational motion (SIRM) can provide important information for the evaluation of cervical diseases. Deep learning has been widely used in spinal parameter measurements, however, there are fe
Externí odkaz:
https://doaj.org/article/24e67173b42645ce9372f0f145147f17
Autor:
Riccardo Cau, Francesco Pisu, Jasjit S. Suri, Roberta Montisci, Marco Gatti, Lorenzo Mannelli, Xiangyang Gong, Luca Saba
Publikováno v:
Diagnostics, Vol 14, Iss 2, p 156 (2024)
Artificial intelligence (AI) is rapidly being applied to the medical field, especially in the cardiovascular domain. AI approaches have demonstrated their applicability in the detection, diagnosis, and management of several cardiovascular diseases, e
Externí odkaz:
https://doaj.org/article/6dd1db3d1e6d4227b18b935f33729d45
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Radiomics analysis is a newly emerging quantitative image analysis technique. The aim of this study was to extract a radiomics signature from the computed tomography (CT) imaging to determine the infarction onset time in patients
Externí odkaz:
https://doaj.org/article/ec4d451c2a4d48dcbc9766b322a05e5c