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.
|Title of host publication||IEEE ICIP 2021 Proceedings|
|Number of pages||5|
|Publication status||Accepted/In press - 2021|
|Event||2021 IEEE International Conference on Image Processing: ICIP 2021 - Anchorage Convention Center, Anchorage, United States|
Duration: 19 Sep 2021 → 22 Sep 2021
|Conference||2021 IEEE International Conference on Image Processing|
|Abbreviated title||Imaging Without Borders|
|Period||19/09/21 → 22/09/21|
|Other||The 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.
FingerprintDive into the research topics of 'Features of ICU admission in x-ray images of COVID-19 patients'. Together they form a unique fingerprint.