生物医学工程研究2024，Vol.43Issue(5)：394-401,8.DOI:10.19529/j.cnki.1672-6278.2024.05.07
深度学习在癌症生存期预测中的研究进展
Research progress of deep learning in predicting cancer survival
摘要
Abstract
Cancer is one of the major diseases that threaten human life and health,accurately predicting its survival period is bene-ficial for assisting doctors to make personalized diagnosis and treatment plans and improve the prognosis of patients.Deep learning(DL)model has significant advantages in processing complex medical data,mining potential features and has been widely used in cancer survival prediction research.This paper systematically reviews and summarizes the application of mainstream networks based on DL in cancer survival prediction in recent years,expounds the performance of each network in cancer prognosis prediction tasks.Final-ly,the limitations of DL in cancer prognosis prediction model(such as data diversity,universality and explanatory models,etc.)is discussed in depth,and the future prospect is discussed,so as to provide new ideas for cancer prognosis prediction research.关键词
癌症/深度学习/预后/生存期预测/多模态Key words
Cancer/Deep learning/Prognosis/Survival prediction/Multimodal分类
医药卫生引用本文复制引用
翟羽佳,李冠鹏,丛金玉,张魁星..深度学习在癌症生存期预测中的研究进展[J].生物医学工程研究,2024,43(5):394-401,8.基金项目
国家自然科学基金项目(62372280) （62372280）
山东省自然科学基金项目(ZR2022QG051,ZR2023QF094). （ZR2022QG051,ZR2023QF094）
