Segmentation And Analysis Of Covid-19 Chest Ct Scan Images Using The Methods Of Deep Learning

Document Type : Primary Research paper


Department of E&CE, Angadi Institute of Technology and Management Belagavi, India


The corona virus disease is an infectious disease which primarily affects lungs of human body. Medical imaging using computed tomography (CT) plays an important role in the global fight in COVID-19. In present days deep learning techniques is useful for diagnose lung affected by covid-19 patients. HRCT images provide good analysis of segmentation of CT images. This process is based on segmentation of medical images in line with convolution neural networks which utilizes augmentation of data, evaluation pre-processing and segmentation of image analysis. Using u-net architecture this paper highlights an approach for lunch images of CT segmentation. The result shoes a comparative lung image of covid-19 patient and non covid-19 patient using U-net Architecture lung augmentation.


Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 2786-2793