Ovarian Cancer Detection Based on Elman Recurrent Neural Network
Hameed R. Farhan,
Muayad S. Kod,
Arwa Taqi
et al.
Abstract:The early detection of cancers increases the possibility of health recovery and prevents the disease from becoming a silent killer. This study introduces an effective method for identifying ovarian cancer (OC) using Elman Recurrent Neural Network (ERNN), which can recognize cancer via mass spectrometry data. The network has a topology of 100 input neurons for receiving data, five neurons for hidden and context layers, and two output nodes to indicate the status. The proposed method uses reduced-size features, … Show more
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