Zobrazeno 1 - 10
of 3 007
pro vyhledávání: '"Jin Zhengyu"'
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 3, Pp 708-717 (2024)
ObjectiveTo establish a medical imaging teacher competency model and evaluate its application value in group teaching for undergraduates.MethodsBased on literature review, a competency model for teachers in medical colleges and universities was estab
Externí odkaz:
https://doaj.org/article/f7a0e0cea4514450b4bf52ea6729df51
Publikováno v:
Radiology and Oncology, Vol 57, Iss 1, Pp 42-50 (2023)
The aim of the study was to analyse the effects of dynamic contrast enhanced (DCE)-MRI on transitional-zone prostate cancer (tzPCa) and clinically significant transitional-zone prostate cancer (cs-tzPCa) in Prostate Imaging Reporting and Data System
Externí odkaz:
https://doaj.org/article/2f07f2c8f28e437eb352d13a841c4a5a
Autor:
CHEN Yu, XUE Huadan, ZHANG Daming, SHI Yuxi, SUN Hao, DING Ning, SU Tong, ZHU Huijuan, JIN Zhengyu, ZHANG Shuyang
Publikováno v:
Xiehe Yixue Zazhi, Vol 13, Iss 4, Pp 702-708 (2022)
The postdoctoral training program of clinical medicine explores a new form of medical elite education in China. As one of the first pilot departments of the clinical postdoctoral program of Peking Union Medical College Hospital, Radiology Department
Externí odkaz:
https://doaj.org/article/1054b8814ad6494fbd2012853d9059ce
Autor:
CHEN Yu, FENG Guodong, SU Tong, MAO Mingyang, TIAN Xu, XU Zhentan, ZHOU Hailong, FANG Hongying, ZHANG Zhuhua, GAO Zhiqiang, JIN Zhengyu
Publikováno v:
Xiehe Yixue Zazhi, Vol 12, Iss 6, Pp 952-957 (2021)
Objective To investigate the relationship between the enhanced MRI features of preopera-tive brain volume imaging (BRAVO) and surgical methods in patients with glomus jugulare tumor (GJT). Methods The imaging data of enhanced BRAVO sequence and surgi
Externí odkaz:
https://doaj.org/article/a97d2316b4474e6fbc089ce56520ce63
Publikováno v:
Xiehe Yixue Zazhi, Vol 12, Iss 5, Pp 698-704 (2021)
Objective To investigate the feasibility of the CT-based radiomics model to predict the recurrence of bladder cancer in one year postoperatively. Methods Patients with bladder cancer that received surgical treatment in Peking Union Medical College Ho
Externí odkaz:
https://doaj.org/article/8a0e11efb2914960b0cad678af2810d7
Publikováno v:
Xiehe Yixue Zazhi, Vol 12, Iss 5, Pp 705-712 (2021)
Objective To investigate the prediction value of a clinical-radiomics model based on T2- weighted imaging (T2WI) and clinical features for diagnosing deep stromal invasion (DSI) in patients with early-stage cervical squamous cell carcinoma. Methods P
Externí odkaz:
https://doaj.org/article/b747ba19bf464533bbd8a734a4797f4c
Publikováno v:
Xiehe Yixue Zazhi, Vol 12, Iss 5, Pp 713-720 (2021)
Objective To investigate the correlation of the texture parameters of T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) with the efficacy of chemoradiotherapy in cervical squamous cell carcinoma. Methods Patients with squamous cell carc
Externí odkaz:
https://doaj.org/article/b799204d1a2e4397851060660987de19
The integration of LLMOps into personalized recommendation systems marks a significant advancement in managing LLM-driven applications. This innovation presents both opportunities and challenges for enterprises, requiring specialized teams to navigat
Externí odkaz:
http://arxiv.org/abs/2404.00903
This paper explores the application of deep learning techniques, particularly focusing on BERT models, in sentiment analysis. It begins by introducing the fundamental concept of sentiment analysis and how deep learning methods are utilized in this do
Externí odkaz:
http://arxiv.org/abs/2403.08217
Natural Language Processing (NLP) is an important branch of artificial intelligence that studies how to enable computers to understand, process, and generate human language. Text classification is a fundamental task in NLP, which aims to classify tex
Externí odkaz:
http://arxiv.org/abs/2403.09718