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X-ray images present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19. This paper presents an original methodology for extracting semantic features that correlate to severity from a data set with patient ICU admission labels through interpretable models. The validation is partially performed by a proposed method that correlates the extracted features with a separate larger data set that does not contain the ICU-outcome labels. The analysis points out that only a few features explain most of the variance between patients admitted in ICUs or not. Besides attesting separability on patients that eventually develop severe symptoms, the proposed methods represent a statistical approach highlighting the importance of features related to ICU admission that may have been only qualitatively reported. While handling limited data sets, notable methodological aspects are adopted, such as presenting a state-of-the-art lung segmentation network and the use of low-complexity models to avoid over fitting.
Original languageEnglish
Title of host publication2021 IEEE International Conference on Image Processing (ICIP)
PublisherIEEE Xplore
Number of pages5
ISBN (Electronic)9781665441155
ISBN (Print)9781665431026 (Print on demand)
Publication statusPublished - 23 Aug 2021
Event2021 IEEE International Conference on Image Processing: ICIP 2021 - Anchorage Convention Center, Anchorage, United States
Duration: 19 Sept 202122 Sept 2021

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


Conference2021 IEEE International Conference on Image Processing
Abbreviated titleImaging Without Borders
Country/TerritoryUnited States
OtherThe 28th IEEE International Conference on Image Processing (IEEE - ICIP) will be held in Anchorage-Alaska, Denaʼina Civic and Convention Center in the period September 19-22, 2021.

The IEEE ICIP is the world’s largest and most comprehensive technical conference focused on image and video processing and computer vision. This conference will showcase world-class plenary speakers, tutorials, exhibits, special sessions, industry sessions, and women in engineering that creates an excellent forum to foster innovation and entrepreneurship. There will be opportunities to network with the brightest minds in academia and industry from this field. In addition, several events targeting students and professionals will also be featured at IEEE ICIP 2021.
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