COVID-19 diagnosis from CT scans and chest X-ray images using low-cost Raspberry Pi.

ABSTRACT: The diagnosis of COVID-19 is of vital demand. Several studies have been conducted to decide whether the chest X-ray and computed tomography (CT) scans of patients indicate COVID-19. While these efforts resulted in successful classification systems, the design of a portable and cost-effective COVID-19 diagnosis system has not been addressed yet. The memory requirements of the current state-of-the-art COVID-19 diagnosis systems are not suitable for embedded systems due to the required large memory size of these systems (e.g., hundreds of megabytes). Thus, the current work is motivated to design a similar system with minimal memory requirements. In this paper, we propose a diagnosis system using a Raspberry Pi Linux embedded system. First, local features are extracted using local binary patte

SUBMITTER: Hosny KM 

PROVIDER: S-EPMC8112662 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature