Research progress of deep learning in predicting cancer survival
ZHAI Yujia
LI Guanpeng
CONG Jinyu
ZHANG Kuixing
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.
Keywords：CancerDeep learningPrognosisSurvival predictionMultimodal
Publication Date：2024-10-28
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：8( 394-401 )