Revolutionizing COVID-19 Diagnosis: Advancements in Chest X-ray Analysis through Customized Convolutional Neural Networks and Image Fusion Data Augmentation
COVID-19 is produced by a new coronavirus called SARS-CoV-2, has wrought extensive damage. Globally, Patients present a wide range of challenges, which has forced medical professionals to actively seek out cutting-edge therapeutic approaches and technology advancements. Machine learning technologies...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00014.pdf |
| _version_ | 1797213267336101888 |
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| author | Alzamili Zainab Danach Kassem Frikha Mondher |
| author_facet | Alzamili Zainab Danach Kassem Frikha Mondher |
| author_sort | Alzamili Zainab |
| collection | DOAJ |
| description | COVID-19 is produced by a new coronavirus called SARS-CoV-2, has wrought extensive damage. Globally, Patients present a wide range of challenges, which has forced medical professionals to actively seek out cutting-edge therapeutic approaches and technology advancements. Machine learning technologies have significantly enhanced the comprehension and control of the COVID-19 issue. Machine learning enables computers to emulate human-like behavior by efficiently recognizing patterns and extracting valuable insights. Cognitive capacity and aptitude for handling substantial quantities of data. Amidst the battle against COVID-19, firms have promptly employed machine-learning expertise in several ways, such as improving consumer communication, enhance comprehension of the COVID-19 transmission mechanism and expedite research and treatment. This work is centered around the utilization of deep learning techniques for predictive modeling. in individuals impacted with COVID-19. A data augmentation phase is included, utilizing multiexposure picture fusion techniques. Chest X-ray images of healthy individuals and COVID-19 patients make up our dataset. |
| first_indexed | 2024-04-24T10:55:34Z |
| format | Article |
| id | doaj.art-9bcc7d1b9a5d4677a99ddc7f332b7773 |
| institution | Directory Open Access Journal |
| issn | 2117-4458 |
| language | English |
| last_indexed | 2024-04-24T10:55:34Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj.art-9bcc7d1b9a5d4677a99ddc7f332b77732024-04-12T07:36:21ZengEDP SciencesBIO Web of Conferences2117-44582024-01-01970001410.1051/bioconf/20249700014bioconf_iscku2024_00014Revolutionizing COVID-19 Diagnosis: Advancements in Chest X-ray Analysis through Customized Convolutional Neural Networks and Image Fusion Data AugmentationAlzamili Zainab0Danach Kassem1Frikha Mondher2ATISP Research Lab, National School of Electronics and Telecommunications, University of SfaxDepartment of Information Technology and Management Systems, Faculty of Business Administration, Al Maaref UniversityATISP Research Lab, National School of Electronics and Telecommunications, University of SfaxCOVID-19 is produced by a new coronavirus called SARS-CoV-2, has wrought extensive damage. Globally, Patients present a wide range of challenges, which has forced medical professionals to actively seek out cutting-edge therapeutic approaches and technology advancements. Machine learning technologies have significantly enhanced the comprehension and control of the COVID-19 issue. Machine learning enables computers to emulate human-like behavior by efficiently recognizing patterns and extracting valuable insights. Cognitive capacity and aptitude for handling substantial quantities of data. Amidst the battle against COVID-19, firms have promptly employed machine-learning expertise in several ways, such as improving consumer communication, enhance comprehension of the COVID-19 transmission mechanism and expedite research and treatment. This work is centered around the utilization of deep learning techniques for predictive modeling. in individuals impacted with COVID-19. A data augmentation phase is included, utilizing multiexposure picture fusion techniques. Chest X-ray images of healthy individuals and COVID-19 patients make up our dataset.https://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00014.pdf |
| spellingShingle | Alzamili Zainab Danach Kassem Frikha Mondher Revolutionizing COVID-19 Diagnosis: Advancements in Chest X-ray Analysis through Customized Convolutional Neural Networks and Image Fusion Data Augmentation BIO Web of Conferences |
| title | Revolutionizing COVID-19 Diagnosis: Advancements in Chest X-ray Analysis through Customized Convolutional Neural Networks and Image Fusion Data Augmentation |
| title_full | Revolutionizing COVID-19 Diagnosis: Advancements in Chest X-ray Analysis through Customized Convolutional Neural Networks and Image Fusion Data Augmentation |
| title_fullStr | Revolutionizing COVID-19 Diagnosis: Advancements in Chest X-ray Analysis through Customized Convolutional Neural Networks and Image Fusion Data Augmentation |
| title_full_unstemmed | Revolutionizing COVID-19 Diagnosis: Advancements in Chest X-ray Analysis through Customized Convolutional Neural Networks and Image Fusion Data Augmentation |
| title_short | Revolutionizing COVID-19 Diagnosis: Advancements in Chest X-ray Analysis through Customized Convolutional Neural Networks and Image Fusion Data Augmentation |
| title_sort | revolutionizing covid 19 diagnosis advancements in chest x ray analysis through customized convolutional neural networks and image fusion data augmentation |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00014.pdf |
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