Quadruple augmented pyramid network for multi-class COVID-19 segmentation via CT

COVID-19, a new strain of coronavirus disease, has been one of the most serious and infectious disease in the world. Chest CT is essential in prognostication, diagnosing this disease, and assessing the complication. In this paper, a multi-class COVID-19 CT segmentation is proposed aiming at helping...

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Bibliografiska uppgifter
Huvudupphovsmän: Wang, Z, Voiculescu, I
Materialtyp: Conference item
Språk:English
Publicerad: IEEE 2021