Robotics & Machine Learning Daily News2024,Issue(Nov.14) :10-11.

Taizhou University Reports Findings in Artificial Intelligence (Artificial intel ligence-assisted magnetic resonance imaging technology in the differential diagn osis and prognosis prediction of endometrial cancer)

台州大学发表人工智能研究报告(人工智能辅助磁共振成像技术在子宫内膜癌鉴别诊断和预后预测中的应用)

Robotics & Machine Learning Daily News2024,Issue(Nov.14) :10-11.

Taizhou University Reports Findings in Artificial Intelligence (Artificial intel ligence-assisted magnetic resonance imaging technology in the differential diagn osis and prognosis prediction of endometrial cancer)

台州大学发表人工智能研究报告(人工智能辅助磁共振成像技术在子宫内膜癌鉴别诊断和预后预测中的应用)

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。据新闻报道该研究源于中华人民共和国台州,由NewsRx编辑撰写,“它的目标是”深度学习算法结合磁共振成像(MRI)在颅脑损伤诊断中的价值子宫内膜癌(EC)的危险诊断及预后基于深度学习卷积神经网络具有101层(ResNet-101)、空间注意和信道的网络(CNN)架构剩余网络rk引入了注意模块来优化模型。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligenc e is the subject of a report. According to newsoriginating from Taizhou, People ’s Republic of China, by NewsRx editors, the research stated, “It aimedto analy ze the value of deep learning algorithm combined with magnetic resonance imaging (MRI) in therisk diagnosis and prognosis of endometrial cancer (EC). Based on the deep learning convolutional neuralnetwork (CNN) architecture residual netwo rk with 101 layers (ResNet-101), spatial attention and channelattention modules were introduced to optimize the model.”

Key words

Taizhou/People’s Republic of China/Asi a/Artificial Intelligence/Cancer/Diagnostics and Screening/Emerging Technolo gies/Endometrial Cancer/Gynecology/Health and Medicine/Imaging Technology/M achine Learning/Magnetic Resonance/Oncology/Technology/Women’s Health

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文