Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases

Presented by

Kun Wang

Introduction

In this paper, the authors utilized Pre-trained (through transfer learning) AlexNet model for detection of pneumonia in CT Scan images. Then they carried out 10 k cross validation to estimate the model will perform on unseen dataset. And finally they evaluated the performance of the models based on accuracy, sensitivity and specificity for general dataset and mean average of the parameters for 10 K cross validation.