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_69
Snippet: To demonstrate the effectiveness of AIMDP model, The overall precision, accuracy, and sensitivity are calculated and the results obtained compared to the result obtained from CorrCT [11] , COVNet [ 10] , DeConNet [9] and ReNet+ [12 ] , as shown in figure 9 . To verify the performance of AIMDP through comparisons with other algorithms, the number of images and threshold values are set to the same in all simulations. is the author/funder, who has .....
Document: To demonstrate the effectiveness of AIMDP model, The overall precision, accuracy, and sensitivity are calculated and the results obtained compared to the result obtained from CorrCT [11] , COVNet [ 10] , DeConNet [9] and ReNet+ [12 ] , as shown in figure 9 . To verify the performance of AIMDP through comparisons with other algorithms, the number of images and threshold values are set to the same in all simulations. is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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