Name
Abstract | ||
|---|---|---|
This paper presents an original methodology for extracting semantic features from X-rays images 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 o... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICIP42928.2021.9506266 | 2021 IEEE International Conference on Image Processing (ICIP) |
Keywords | DocType | ISBN |
COVID-19,Image segmentation,Conferences,Semantics,Lung,X-rays,Feature extraction | Conference | 978-1-6654-4115-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Douglas P. S. Gomes | 1 | 0 | 0.34 |
| Anwaar Ulhaq | 2 | 0 | 0.34 |
| Manoranjan Paul | 3 | 372 | 86.59 |
| Michael J. Horry | 4 | 0 | 0.34 |
| S. Chakraborty | 5 | 63 | 8.41 |
| Manash Saha | 6 | 0 | 0.34 |
| Tanmoy Debnath | 7 | 0 | 0.34 |
| D.M. Motiur Rahaman | 8 | 0 | 0.34 |