SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival-Reference-Cited by-同舟云学术

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SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival

Published:2024-04 Issue: Volume:172 Page:108301
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Pan Liangrui^ORCID,Peng Yijun,Li Yan,Wang Xiang,Liu Wenjuan,Xu Liwen,Liang Qingchun,Peng Shaoliang

Funder

Hunan University

Publisher

Elsevier BV

Reference62 articles.

1. Aacr cancer progress report 2023: Advancing the frontiers of cancer science and medicine;Williams;Clin. Cancer Res.,2023

2. Vitamin d3 for reducing mortality from cancer and other outcomes before, during and beyond the covid-19 pandemic: A plea for harvesting low-hanging fruit;Brenner;Cancer Commun.,2022

3. Multi-head attention mechanism learning for cancer new subtypes and treatment based on cancer multi-omics data;Pan,2023

4. Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values;García-Laencina;Comput. Biol. Med.,2015

5. Deep learning in cancer diagnosis, prognosis and treatment selection;Tran;Genome Med.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Opportunities and challenges in the application of large artificial intelligence models in radiology;Meta-Radiology;2024-06

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