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20222026
most citedLung infection and normal region segmentation from CT volumes of COVID-19 cases

7 citations · 10 across the 6 of their papers we have counts for

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eess.IV2023

Identifying Suspicious Regions of Covid-19 by Abnormality-Sensitive Activation Mapping

Ryo Toda, Hayato Itoh, Masahiro Oda +6

This paper presents a fully-automated method for the identification of suspicious regions of a coronavirus disease (COVID-19) on chest CT volumes. One major role of chest CT scanni…