Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Guoquan, Cao"'
Autor:
Ying Zhu, Yaru Wei, Zhongwei Chen, Xiang Li, Shiwei Zhang, Caiyun Wen, Guoquan Cao, Jiejie Zhou, Meihao Wang
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Objectives To explore the performance differences of multiple annotations in radiomics analysis and provide a reference for tumour annotation in large-scale medical image analysis. Methods A total of 342 patients from two centres who underwe
Externí odkaz:
https://doaj.org/article/0dc8a489f443470bbb5824ceb40df176
Autor:
Chenyu Li, Ji Zhang, Boda Ning, Jiayi Xu, Zhixi Lin, Jicheng Zhang, Ninghang Tan, Xianwen Yu, Wanyu Su, Weihua Ni, Wenliang Yu, Jianping Wu, Guoquan Cao, Zhuo Cao, Congying Xie, Xiance Jin
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-11 (2024)
Abstract Background To integrate radiomics and dosiomics features from multiple regions in the radiation pneumonia (RP grade ≥ 2) prediction for esophageal cancer (EC) patients underwent radiotherapy (RT). Methods Total of 143 EC patients in the au
Externí odkaz:
https://doaj.org/article/9964b0db6d5f4aa7a1d66eef0dc14947
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Precise prediction of esophageal squamous cell carcinoma (ESCC) invasion depth is crucial not only for optimizing treatment plans but also for reducing the need for invasive procedures, consequently lowering complications and cost
Externí odkaz:
https://doaj.org/article/43e133319ead45f8833f2ea8075e98bb
Autor:
Xiao Chen, Yang Zhang, Jiahuan Zhou, Xiao Wang, Xinmiao Liu, Ke Nie, Xiaomin Lin, Wenwen He, Min-Ying Su, Guoquan Cao, Meihao Wang
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
PurposeTo implement two Artificial Intelligence (AI) methods, radiomics and deep learning, to build diagnostic models for patients presenting with architectural distortion on Digital Breast Tomosynthesis (DBT) images.Materials and MethodsA total of 2
Externí odkaz:
https://doaj.org/article/0aa3dc1e0f3c4d2abbeb529469efc4d6
Autor:
Xinmiao Liu, Ji Zhang, Jiejie Zhou, Yun He, Yunyu Xu, Zhenhua Zhang, Guoquan Cao, Haiwei Miao, Zhongwei Chen, Youfan Zhao, Xiance Jin, Meihao Wang
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectiveTo develop a multi-modality radiomics nomogram based on DCE-MRI, B-mode ultrasound (BMUS) and strain elastography (SE) images for classifying benign and malignant breast lesions.Material and MethodsIn this retrospective study, 345 breast les
Externí odkaz:
https://doaj.org/article/dca4d0bd4ac94c32a5d1dc2ca5fd06d9
Autor:
Xiao Chen, Yang Zhang, Guoquan Cao, Jiahuan Zhou, Ya Lin, Boyang Chen, Ke Nie, Gangze Fu, Min-Ying Su, Meihao Wang
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
PurposeTo evaluate the volumetric change of COVID-19 lesions in the lung of patients receiving serial CT imaging for monitoring the evolution of the disease and the response to treatment.Materials and methodsA total of 48 patients, 28 males and 20 fe
Externí odkaz:
https://doaj.org/article/b66526114acb4a7bb664e7a6a440a007
Autor:
Xiao Chen, Qingshan Deng, Qiang Wang, Xinmiao Liu, Lei Chen, Jinjin Liu, Shuangquan Li, Meihao Wang, Guoquan Cao
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
PurposeTo standardize the radiography imaging procedure, an image quality control framework using the deep learning technique was developed to segment and evaluate lumbar spine x-ray images according to a defined quality control standard.Materials an
Externí odkaz:
https://doaj.org/article/3b1b774b63c242a59fe6ec578a46c710
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 10 (2022)
Pancreatic adenocarcinoma (PAAD) is the fourth leading cause of cancer-related deaths worldwide. 5-Hydroxymethylcytosine (5hmC)-mediated epigenetic regulation has been reported to be involved in cancer pathobiology and has emerged to be promising bio
Externí odkaz:
https://doaj.org/article/b74a9b0b8f554a718d7a0fca5a7cdfc4
Publikováno v:
Disease Markers. 2022:1-8
Objectives. To differentiate the primary site of brain metastases (BMs) is of high clinical value for the successful management of patients with BM. The purpose of this study is to investigate a combined radiomics model with computer tomography (CT)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::387511a3c6fc8aab761c5cb17dcef57b
https://doi.org/10.1155/2022/5147085
https://doi.org/10.1155/2022/5147085
Publikováno v:
Journal of International Medical Research, Vol 47 (2019)
Objective The aim of this study was to compare the feasibility of 640-slice with 64-slice computed tomography (CT) coronary angiography for diagnosing coronary lesions in patients with pacemakers. Methods Forty-five and 50 patients with pacemakers an
Externí odkaz:
https://doaj.org/article/a19142b91c934893baee3aca8d2fc7f5