Lung and Infection CT-Scan-Based Segmentation with 3D UNet Architecture and Its Modification.

ABSTRACT: COVID-19 is the disease that has spread over the world since December 2019. This disease has a negative impact on individuals, governments, and even the global economy, which has caused the WHO to declare COVID-19 as a PHEIC (Public Health Emergency of International Concern). Until now, there has been no medicine that can completely cure COVID-19. Therefore, to prevent the spread and reduce the negative impact of COVID-19, an accurate and fast test is needed. The use of chest radiography imaging technology, such as CXR and CT-scan, plays a significant role in the diagnosis of COVID-19. In this study, CT-scan segmentation will be carried out using the 3D version of the most recommended segmentation algorithm for bio-medical images, namely 3D UNet, and three other architectures from the 3D U

SUBMITTER: Asnawi MH 

PROVIDER: S-EPMC9859364 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature