基于MR图像的前列腺癌检测系统  

Prostate Cancer Detection System Based on MR Images

作　　者：郭华峰[1] 钱月钟 GUO Huafeng;Qian Yuezhong(Zhejiang Industry&Trade Vocational College,Wenzhou 325003,China)

机构地区：[1]浙江工贸职业技术学院,浙江温州325003

出　　处：《浙江工贸职业技术学院学报》2024年第3期53-56,共4页Journal of Zhejiang Industry & Trade Vocational College

基　　金：浙江工贸职业技术学院教师科技创新活动计划项目“基于MR图像的前列腺癌检测方法研究”(ZG220201)。

摘　　要：前列腺癌是一种患病率与死亡率都比较高的男性疾病,其临床诊断主要使用核磁共振(MR)成像。针对前列腺癌病灶体积小、轮廓模糊和数据获取有限的特点,引入自监督学习网络对检测方法进行了优化,并使用Python和MySQL等技术设计实现了一个基于MR图像的前列腺癌检测系统,为前列腺癌的辅助检测提供了帮助。Prostate cancer is a male disease with high morbidity and mortality,and its clinical diagnosis mainly uses magnetic resonance(MR)imaging.In view of the characteristics of small size,blurred contour and limited data acquisition of prostate cancer lesions,self-supervised learning network was introduced to optimize the detection method,and a prostate cancer detection system based on MR Images was designed and implemented with the application of Python and MySQL,which provided help for the auxiliary detection of prostate cancer.

关 键 词：前列腺癌 MR图像 检测系统 自监督学习 PYTHON 

分 类 号：TP317.4[自动化与计算机技术—计算机软件与理论]