A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer

•A deep stacked RVFL autoencoder is proposed for diagnosis of brain abnormalities.•The proposed SRVFL-AE network is free from additional fine-tuning step.•It eliminates the requirement of hand-engineered features.•A comparative analysis of SRVFL-AE with its counterparts is performed.•Results show th...

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Veröffentlicht in:	Biomedical signal processing and control Jg. 58; S. 101860
Hauptverfasser:	Nayak, Deepak Ranjan, Dash, Ratnakar, Majhi, Banshidhar, Pachori, Ram Bilas, Zhang, Yudong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2020
Schlagworte:	Autoencoder Deep neural network Magnetic resonance imaging Random vector functional link network ReLU Deep neural network ReLU Magnetic resonance imaging Autoencoder Random vector functional link network
ISSN:	1746-8094, 1746-8108
Online-Zugang:	Volltext
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