Year: 2022
Type: article
Abstract: Corona-virus is a disease which caused immense destruction to human lives in 21st century.This virus outbreak is considered as an epidemic that spread globally.Crores of people are infected by this virus all over the world.Early detection of the virus is very much important to overcome Covid-19 crisis.This model proposes a convolution neural network model implemented using VGG-19accompanied with Transfer LearningTechnique for the Covid-19 Detection.The Covid-19 dataset considered in this model is a verified report of positive cases confirmed by both RT-PCR and CXR images.Initially, One Hot Encoding Method is used for CXR image data conversion and then pre-processing is done to extract features and then filtered data is forwarded through the VGG-19 and is further processed to Fully Connected Layers.Therefore, the model is later fine-tuned to achieve better classification results.The achieved model accuracy is around 0.94 with a loss is about 0.55.
Institution: Andhra University
Language: English
Topic: COVID-19 diagnosis using AI
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4224252165