• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

Medical Image Analyst: A Radiology Career Focused on Comprehensive Quantitative Imaging Analytics to Improve Healthcare.

作者信息

de Azevedo-Marques Paulo Mazzoncini, Ferreira José Raniery

机构信息

Ribeirão Preto Medical School, University of São Paulo, Av. dos Bandeirantes 3900, 14049-900, Ribeirão Preto, SP, Brazil.

Ribeirão Preto Medical School, University of São Paulo, Av. dos Bandeirantes 3900, 14049-900, Ribeirão Preto, SP, Brazil.

出版信息

Acad Radiol. 2022 Jan;29(1):170. doi: 10.1016/j.acra.2020.11.028. Epub 2021 Mar 14.

DOI:10.1016/j.acra.2020.11.028
PMID:33731285
Abstract
摘要

相似文献

1
Medical Image Analyst: A Radiology Career Focused on Comprehensive Quantitative Imaging Analytics to Improve Healthcare.医学影像分析师：专注于全面定量影像分析以改善医疗保健的放射学职业。
Acad Radiol. 2022 Jan;29(1):170. doi: 10.1016/j.acra.2020.11.028. Epub 2021 Mar 14.
2
Response to letter to Editor: Medical Image Analyst: A Radiology Career Focused on Comprehensive Quantitative Imaging Analytics to Improve Healthcare.
Acad Radiol. 2022 Jan;29(1):171. doi: 10.1016/j.acra.2021.02.018. Epub 2021 Mar 13.
3
Residency Mini-fellowships in the PGY-5 Year: Is There Added Value?住院医师规范化培训后阶段（PGY-5 年）的迷你奖学金项目：是否有附加价值？
Acad Radiol. 2018 Jun;25(6):708-713. doi: 10.1016/j.acra.2017.12.033.
4
Finding relevant free-text radiology reports at scale with IBM Watson Content Analytics: a feasibility study in the UK NHS.使用IBM Watson内容分析大规模查找相关的自由文本放射学报告：英国国民健康服务体系中的一项可行性研究
J Biomed Semantics. 2019 Nov 12;10(Suppl 1):21. doi: 10.1186/s13326-019-0213-5.
5
The Failure of Haven Healthcare: Lessons for Radiology Learners.
Acad Radiol. 2021 Jul;28(7):1029-1031. doi: 10.1016/j.acra.2021.03.020. Epub 2021 Apr 22.
6
The present and future of deep learning in radiology.深度学习在放射学中的现在和未来。
Eur J Radiol. 2019 May;114:14-24. doi: 10.1016/j.ejrad.2019.02.038. Epub 2019 Mar 2.
7
RADIOLOGY EDUCATION: A PILOT STUDY TO ASSESS KNOWLEDGE OF MEDICAL STUDENTS REGARDING IMAGING IN TRAUMA.
J Ayub Med Coll Abbottabad. 2015 Oct-Dec;27(4):829-31.
8
Awareness of radiation protection and dose levels of imaging procedures among medical students, radiography students, and radiology residents at an academic hospital: Results of a comprehensive survey.一所学术医院的医学生、放射技术专业学生和放射科住院医师对辐射防护及成像检查剂量水平的认知：一项综合调查结果
Eur J Radiol. 2017 Jan;86:135-142. doi: 10.1016/j.ejrad.2016.10.033. Epub 2016 Oct 31.
9
Radiology for the people.
Radiology. 1976 Sep;120(3):737-9. doi: 10.1148/120.3.737.
10
Radiology in the Era of Value-based Healthcare: A Multi-Society Expert Statement from the ACR, CAR, ESR, IS3R, RANZCR, and RSNA.基于价值的医疗保健时代的放射学：来自 ACR、CAR、ESR、IS3R、RANZCR 和 RSNA 的多学会专家声明。
Radiology. 2021 Mar;298(3):486-491. doi: 10.1148/radiol.2020209027. Epub 2020 Dec 21.

引用本文的文献

1
Magnetic Resonance Imaging Image-Based Segmentation of Brain Tumor Using the Modified Transfer Learning Method.基于磁共振成像的脑肿瘤图像分割的改进迁移学习方法
J Med Phys. 2022 Oct-Dec;47(4):315-321. doi: 10.4103/jmp.jmp_52_22. Epub 2023 Jan 10.
2
A Deep Learning Framework for Segmenting Brain Tumors Using MRI and Synthetically Generated CT Images.基于 MRI 和合成 CT 图像的脑肿瘤分割深度学习框架。
Sensors (Basel). 2022 Jan 11;22(2):523. doi: 10.3390/s22020523.