A review of cancer data fusion methods based on deep learning-Reference-Cited by-同舟云学术

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A review of cancer data fusion methods based on deep learning

Published:2024-08 Issue: Volume:108 Page:102361
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Zhao Yuxin,Li Xiaobo^ORCID,Zhou Changjun,Peng Hao,Zheng Zhonglong,Chen Jun,Ding Weiping

Publisher

Elsevier BV

Reference208 articles.

1. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA Cancer J. Clin.,2021

2. “Global cancer statistics 2022: the trends projection analysis”;Chhikara;Chemical Biology Letters,2021

3. Chaotic sparrow search algorithm with deep transfer learning enabled breast cancer classification on histopathological images;Shankar;Cancers. (Basel),2022

4. A roadmap for multi-omics data integration using deep learning;Kang;Brief. Bioinformatics,2022

5. A framework for lung and colon cancer diagnosis via lightweight deep learning models and transformation methods;Attallah;DIAGNOSTICS,2022

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