Combined Cloud-Based Inference System for the Classification of COVID-19 in CT-Scan and X-Ray Images.

ABSTRACT: In the past few years, most of the work has been done around the classification of covid-19 using different images like CT-scan, X-ray, and ultrasound. But none of that is capable enough to deal with each of these image types on a single common platform and can identify the possibility that a person is suffering from COVID or not. Thus, we realized there should be a platform to identify COVID-19 in CT-scan and X-ray images on the fly. So, to fulfill this need, we proposed an AI model to identify CT-scan and X-ray images from each other and then use this inference to classify them of COVID positive or negative. The proposed model uses the inception architecture under the hood and trains on the open-source extended covid-19 dataset. The dataset consists of plenty of images for both image typ

SUBMITTER: Dubey AK 

PROVIDER: S-EPMC9676871 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature