activity
20222026
most citedCOVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty

2 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

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…