Detection of Novel Coronavirus (nCov-2019) using Lung CT Scan by Marker-based Watershed Segmentation method

Abstract

This research study is expected to set up an early screening model to detect Novel Coronavirus (2019 – nCov) Pneumonia, with aspiratory CT scan utilizing Digital Image Processing procedures. The signs of registered tomography (CT) imaging of 2019 – nCov had their attributes, which are not the same as different sorts of viral Pneumonia. Accordingly, clinical specialists require another early analytic criterion for this new kind of Pneumonia at the earliest opportunity. The applicant contamination locales were handled under Digital Image Processing systems: image preprocessing, image enhancement and image segmentation of a 3-dimensional pneumonic CT image set capturing. These isolated images were then sorted into 2019 – nCov, using a marker-based watershed segmentation method