Using autoencoders as a weight initialization method on deep neural networks for disease detection

Using autoencoders as a weight initialization method on deep neural networks for disease detection

Abstract Background As of today, cancer is still one of the most prevalent and high-mortality diseases, summing more than 9 million deaths in 2018. This has motivated researchers to study the application of machine learning-based solutions for cancer detection to accelerate its diagnosis and help it...

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Bibliographic Details
Main Authors: Mafalda Falcão Ferreira, Rui Camacho, Luís F. Teixeira
Format: Article
Language:English
Published: BMC 2020-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Cancer
Classification
Deep learning
Autoencoders
Gene expression analysis
Online Access:http://link.springer.com/article/10.1186/s12911-020-01150-w

Internet

http://link.springer.com/article/10.1186/s12911-020-01150-w

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