A Deep Transfer Learning Model with Classical Data Augmentation and CGAN to Detect COVID 19 from Chest CT Radiography Digital Images is popular PDF and ePub book, written by Mohamed Loey in 2020-04-16, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, A Deep Transfer Learning Model with Classical Data Augmentation and CGAN to Detect COVID 19 from Chest CT Radiography Digital Images can be Read Online from any device for your convenience.
A Deep Transfer Learning Model with Classical Data Augmentation and CGAN to Detect COVID 19 from Chest CT Radiography Digital Images Book PDF Summary
In this study, five different deep convolutional neural network-based models (AlexNet, VGGNet16, VGGNet19, GoogleNet, and ResNet50) have been selected for the investigation to detect the coronavirus infected patient using chest CT radiographs digital images. The classical data augmentations along with CGAN improve the performance of classification in all selected deep transfer models. The Outcomes show that ResNet50 is the most appropriate classifier to detect the COVID-19 from chest CT dataset using the classical data augmentation and CGAN with testing accuracy of 82.91%.
Detail Book of A Deep Transfer Learning Model with Classical Data Augmentation and CGAN to Detect COVID 19 from Chest CT Radiography Digital Images PDF
- Author : Mohamed Loey
- Release : 16 April 2020
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Medical
- Total Page : 17 pages
- Language : English
- PDF File Size : 15,9 Mb
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