机电工程技术2024，Vol.53Issue(2)：56-59,93,5.DOI:10.3969/j.issn.1009-9492.2024.02.012
面向前列腺癌Gleason评分的深度学习方法研究现状综述
A Review of the Current State of Research on Deep Learning Methods for Gleason Scoring of Prostate Cancer
摘要
Abstract
Prostate cancer is a common male disease that seriously endangers men's health.Gleason score for prostate cancer is very important for diagnosing prostate cancer and judging patients'condition after treatment.With the rapid development of deep learning technology,a large number of deep learning-based Gleason scoring methods for prostate cancer have emerged.Taking different types of medical clinical data as the research objects,the existing deep learning methods for Gleason scoring of prostate cancer can be summarized into Gleason scoring methods for magnetic resonance images and Gleason scoring methods for biopsy histopathology images of prostate cancer.The existing deep learning methods for Gleason score of prostate cancer are analyzed and summarized,and the development trend of related technologies is prospected.关键词
前列腺癌/Gleason评分/深度学习/核磁共振图像/活检组织病理图Key words
prostate cancer/Gleason score/deep learning/magnetic resonance images/biopsy histopathology images分类
信息技术与安全科学引用本文复制引用
李嘉,蔡定建,黄丽,杨敏..面向前列腺癌Gleason评分的深度学习方法研究现状综述[J].机电工程技术,2024,53(2):56-59,93,5.基金项目
江门市科技计划资助项目(2022JC01023） （）
