March 12, 2024, 4:49 a.m. | Demetris Gerogiannis, Anastasios Arsenos, Dimitrios Kollias, Dimitris Nikitopoulos, Stefanos Kollias

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.06242v1 Announce Type: cross
Abstract: Computer-aided diagnosis (CAD) systems stand out as potent aids for physicians in identifying the novel Coronavirus Disease 2019 (COVID-19) through medical imaging modalities. In this paper, we showcase the integration and reliable and fast deployment of a state-of-the-art AI system designed to automatically analyze CT images, offering infection probability for the swift detection of COVID-19. The suggested system, comprising both classification and segmentation components, is anticipated to reduce physicians' detection time and enhance the overall …

abstract ai system analysis art arxiv cad computer coronavirus covid covid-19 cs.cv deployment diagnosis disease eess.iv imaging integration medical medical ai medical imaging novel paper physicians state systems through type

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