An Approach for Cancer-Type Classification Using Feature Selection Techniques with Convolutional Neural Network

An Approach for Cancer-Type Classification Using Feature Selection Techniques with Convolutional Neural Network

Cancer diagnosis and treatment depend on accurate cancer-type prediction. A prediction model can infer significant cancer features (genes). Gene expression is among the most frequently used features in cancer detection. Deep Learning (DL) architectures, which demonstrate cutting-edge performance in...

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Bibliographic Details
Main Authors: Saleh N. Almuayqil, Murtada K. Elbashir, Mohamed Ezz, Mohanad Mohammed, Ayman Mohamed Mostafa, Meshrif Alruily, Eslam Hamouda
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
cancer prediction
gene expression
deep learning
Pan-Cancer Atlas
convolutional neural networks
Online Access:https://www.mdpi.com/2076-3417/13/19/10919

Internet

https://www.mdpi.com/2076-3417/13/19/10919

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