Selected article for: "CT image and International license"
Author: Sally M. ELGhamrawy; Abou Ellah Hassanien
Title: Diagnosis and Prediction Model for COVID19 Patients Response to Treatment based on Convolutional Neural Networks and Whale Optimization Algorithm Using CT Images
  • Document date: 2020_4_21
    • ID: jir00627_22
    Snippet: In the segmentation phase, the Convolutional Neural Networks (CNNs) is used as a deep learning technique. CNNs were initially proposed by Fukushima [17] . Different filters are applied in CNNs to capture the relevant features from image using predefined parameters and learned weights at every level. In this phase, the following sequence of layers are presented: (1) The Maximum Pooling (Max Pool) layer that is used to reduce the features in CT ima.....
    Document: In the segmentation phase, the Convolutional Neural Networks (CNNs) is used as a deep learning technique. CNNs were initially proposed by Fukushima [17] . Different filters are applied in CNNs to capture the relevant features from image using predefined parameters and learned weights at every level. In this phase, the following sequence of layers are presented: (1) The Maximum Pooling (Max Pool) layer that is used to reduce the features in CT image by summarizing the most stimulated occurrences of a feature. CC-BY 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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