Publication:
COVID-19 Detection System with Gradient Vector Flow Snake
COVID-19 Detection System with Gradient Vector Flow Snake
| cris.author.scopus-author-id | 35810354700 | |
| cris.author.scopus-author-id | 59137871900 | |
| cris.author.scopus-author-id | 57211325656 | |
| cris.author.scopus-author-id | 57771916800 | |
| cris.author.scopus-author-id | 55987982900 | |
| dc.contributor.author | Jusman Y. | |
| dc.contributor.author | Almizar N. | |
| dc.contributor.author | Widyasmoro | |
| dc.contributor.author | Tyassari W. | |
| dc.contributor.author | Kanafiah S.N.A.M. | |
| dc.date.accessioned | 2024-10-03T02:53:57Z | |
| dc.date.available | 2024-10-03T02:53:57Z | |
| dc.date.issued | 2024-01-01 | |
| dc.description.abstract | COVID-19, attacking the lung and respiratory system, can infect people of all ages since it is easily transmitted through contact with sufferers. However, despite having similar symptoms to pneumonia, COVID-19 is more dangerous as late diagnosis can lead to death. COVID-19 and pneumonia diagnosis can be performed using chest X-ray images. This study aims to detect COVID-19 in chest X-ray images using Gradient Vector Flow Snake (GVFS) segmentation and Hu Moment extraction, with Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) as the classification methods. Chest X-ray image data were obtained from Joseph Paul Cohen's Github open source from various hospitals in various parts of the country by taking three image classes: COVID-19, normal, and pneumonia. Hu Moment Cubic KNN outperformed other methods by producing the greatest training accuracy of 56.20% and the highest testing accuracy of 66.30%. | |
| dc.identifier.doi | 10.1109/AIMS61812.2024.10512369 | |
| dc.identifier.isbn | [9798350350524] | |
| dc.identifier.scopus | 2-s2.0-85193797876 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14170/8598 | |
| dc.relation.funding | Universitas Muhammadiyah Yogyakarta | |
| dc.relation.grantno | undefined | |
| dc.relation.ispartof | International Conference on Artificial Intelligence and Mechatronics System, AIMS 2024 | |
| dc.relation.ispartofseries | International Conference on Artificial Intelligence and Mechatronics System, AIMS 2024 | |
| dc.subject | COVID-19 | Gradient Vector Flow Snake (GVFS) | Hu Moment | K-Nearest Neighbor (KNN) | Support Vector Machine (SVM) | |
| dc.title | COVID-19 Detection System with Gradient Vector Flow Snake | |
| dc.type | Conference Proceeding | |
| dspace.entity.type | Publication | |
| oairecerif.affiliation.orgunit | Universitas Muhammadiyah Yogyakarta | |
| oairecerif.affiliation.orgunit | Universitas Muhammadiyah Yogyakarta | |
| oairecerif.affiliation.orgunit | Universitas Muhammadiyah Yogyakarta | |
| oairecerif.affiliation.orgunit | Universiti Malaysia Perlis | |
| oairecerif.affiliation.orgunit | Universiti Malaysia Perlis | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| person.identifier.scopus-author-id | 35810354700 | |
| person.identifier.scopus-author-id | 59137871900 | |
| person.identifier.scopus-author-id | 57211325656 | |
| person.identifier.scopus-author-id | 57771916800 | |
| person.identifier.scopus-author-id | 55987982900 |