Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Yingci Li"'
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-10 (2024)
Summary Objective To evaluate the diagnostic efficacy of a deep learning (DL) model based on PET/CT images for distinguishing and predicting various pathological subtypes of invasive lung adenocarcinoma. Methods A total of 250 patients diagnosed with
Externí odkaz:
https://doaj.org/article/8811c6c87cc24d289c3323054042b628
Publikováno v:
Contrast Media & Molecular Imaging. 2023:1-10
Colon cancer is a type of cancer that begins in the large intestine. In the process of efficacy evaluation, postoperative recurrence prediction and metastasis monitoring of colon cancer, traditional medical image analysis methods are highly dependent
Publikováno v:
Chinese Journal of Lung Cancer, Vol 18, Iss 3, Pp 155-160 (2015)
Background and objective Mediastinal involvement in lung cancer is a highly significant prognostic factor for survival, and accurate staging of the mediastinum will correctly identify patients who will benefit the most from surgery. Positron emission
Externí odkaz:
https://doaj.org/article/0a4eee48e56c437fa20a64543f4550d2
Publikováno v:
Contrast Media & Molecular Imaging; 5/4/2023, p1-10, 10p
Purpose:Positron emission tomography (PET) with integrated computed tomography (PET/CT) is a whole-body imaging method providing information the entire body. When it was used in staging breast cancer patients, quite a few patients were found to hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a595df1eed8d66db0acf61e72b135940
https://doi.org/10.21203/rs.3.rs-502469/v1
https://doi.org/10.21203/rs.3.rs-502469/v1
Autor:
Dalong Wang, Yingci Li, Xiaolin Chen, Ping Li, Wang, Dalong, Li, Yingci, Chen, Xiaolin, Li, Ping
Publikováno v:
Medicine; 9/3/2021, Vol. 100 Issue 35, p1-9, 9p
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e112577 (2014)
OBJECT: The aim of this study was to determine the suitability of magnetic resonance spectroscopy (MRS) for screening brain tumors, based on a systematic review and meta-analysis of published data on the diagnostic performance of MRS. METHODS: The Pu
Externí odkaz:
https://doaj.org/article/44a300f0b7af44b597401da6db4c9903
Publikováno v:
Medicine
The aim of this study was to retrospectively analyze 18F-FDG positron emission tomography/computed tomography (18F-FDG PET/CT) metabolic variables, programmed death-ligand 1 (PD-L1) and phosphorylated signal transducer and activator of transcription
Autor:
Wanyu Liu, Wenzhi Wang, Hongkai Wang, Zongwei Zhou, Yingci Li, Lijuan Yu, Peiou Lu, Zhonghua Chen
Publikováno v:
EJNMMI Research
Background This study aimed to compare one state-of-the-art deep learning method and four classical machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer (NSCLC) from 18F-FDG PET/CT images. Another o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccd0eeac7f612eb609de277a0e22044c
Publikováno v:
Hepato-gastroenterology. 62(140)
PET is a highly specific tool in liver cancer diagnosis. However, in small hepatic lesions, typical imaging characteristics are lacking. The aim of this study was to investigate the accuracy of PET-CT and ultrasound-guided biopsy for diagnosis of liv