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_20
Snippet: The copyright holder for this preprint . https://doi.org/10.1101/2020.04. 16.20063990 doi: medRxiv preprint such non-responders could be predicted early, an alternative regime will be studied and considered for them. The detailed description of the proposed AIMDP model is shown in figure 3 . First the model starts by taking the patient information as the input; this information contains the raw CT images data about suspected patients. The pre-pro.....
Document: The copyright holder for this preprint . https://doi.org/10.1101/2020.04. 16.20063990 doi: medRxiv preprint such non-responders could be predicted early, an alternative regime will be studied and considered for them. The detailed description of the proposed AIMDP model is shown in figure 3 . First the model starts by taking the patient information as the input; this information contains the raw CT images data about suspected patients. The pre-processing phase handle any noise or missing data that might occurs in the original dataset. The CT images in classes are then sorted based on their features and attributes to extract effective pulmonary region.
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