Deep Learning for Multi-Tissue Cancer Classification of Gene Expressions (GeneXNet)-Reference-Cited by-同舟云学术

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Deep Learning for Multi-Tissue Cancer Classification of Gene Expressions (GeneXNet)

Published:2020 Issue: Volume:8 Page:90615-90629
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khorshed Tarek^ORCID,Moustafa Mohamed N.^ORCID,Rafea Ahmed^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09087866.pdf?arnumber=9087866

Cited by 16 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. GeneNet: Transfer learning-based hybrid African buffalo optimization with genetic algorithm for gene expression based cancer classification;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2023-12

2. A Fine-Tuned ResNet50 Model for Multiclass Cancer Prediction;2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI);2023-11-27

3. An Efficient Cancer Classification Model Using Deep Neural Network with Arithmetic Optimization Algorithm-Based Optimal Gene Selection;2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2023-11-22

4. RNN-CNN Based Cancer Prediction Model for Gene Expression;IEEE Access;2023

5. A Machine Learning-Based Framework for the Prediction of Cervical Cancer Risk in Women;Sustainability;2022-09-22

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