Chest X-ray and CT Scan Classification using Ensemble Learning through Transfer Learning
COVID-19 has posed an extraordinary challenge to the entire world. As the number of COVID-19 cases continues to climb around the world, medical experts are facing an unprecedented challenge in correctly diagnosing and predicting the disease. The present research attempts to develop a new and effect...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2022-06-01
|
| Series: | EAI Endorsed Transactions on Scalable Information Systems |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/sis/article/view/382 |
| _version_ | 1829096517075468288 |
|---|---|
| author | Salman Ahmad Siddiqui Neda Fatima Anwar Ahmad |
| author_facet | Salman Ahmad Siddiqui Neda Fatima Anwar Ahmad |
| author_sort | Salman Ahmad Siddiqui |
| collection | DOAJ |
| description |
COVID-19 has posed an extraordinary challenge to the entire world. As the number of COVID-19 cases continues to climb around the world, medical experts are facing an unprecedented challenge in correctly diagnosing and predicting the disease. The present research attempts to develop a new and effective strategy for classifying chest X-rays and CT Scans in order to distinguish COVID-19 from other diseases. Transfer learning was used to train various models for chest X-rays and CT Scan, including Inceptionv3, Xception, InceptionResNetv2, DenseNet121, and Resnet50. The models are then integrated using an ensemble technique to improve forecast accuracy. The proposed ensemble approach is more effective in classifying X-ray and CT Scan and forecasting COVID-19.
|
| first_indexed | 2024-04-11T08:58:31Z |
| format | Article |
| id | doaj.art-9561a34a21be4d1c92b89945549e4776 |
| institution | Directory Open Access Journal |
| issn | 2032-9407 |
| language | English |
| last_indexed | 2024-04-11T08:58:31Z |
| publishDate | 2022-06-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Scalable Information Systems |
| spelling | doaj.art-9561a34a21be4d1c92b89945549e47762022-12-22T04:33:01ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Scalable Information Systems2032-94072022-06-019610.4108/eetsis.vi.382Chest X-ray and CT Scan Classification using Ensemble Learning through Transfer LearningSalman Ahmad Siddiqui0Neda Fatima1Anwar Ahmad2Jamia Millia Islamia Jamia Millia Islamia Jamia Millia Islamia COVID-19 has posed an extraordinary challenge to the entire world. As the number of COVID-19 cases continues to climb around the world, medical experts are facing an unprecedented challenge in correctly diagnosing and predicting the disease. The present research attempts to develop a new and effective strategy for classifying chest X-rays and CT Scans in order to distinguish COVID-19 from other diseases. Transfer learning was used to train various models for chest X-rays and CT Scan, including Inceptionv3, Xception, InceptionResNetv2, DenseNet121, and Resnet50. The models are then integrated using an ensemble technique to improve forecast accuracy. The proposed ensemble approach is more effective in classifying X-ray and CT Scan and forecasting COVID-19. https://publications.eai.eu/index.php/sis/article/view/382COVID-19Ensemble learningX-rayTransfer Learning |
| spellingShingle | Salman Ahmad Siddiqui Neda Fatima Anwar Ahmad Chest X-ray and CT Scan Classification using Ensemble Learning through Transfer Learning EAI Endorsed Transactions on Scalable Information Systems COVID-19 Ensemble learning X-ray Transfer Learning |
| title | Chest X-ray and CT Scan Classification using Ensemble Learning through Transfer Learning |
| title_full | Chest X-ray and CT Scan Classification using Ensemble Learning through Transfer Learning |
| title_fullStr | Chest X-ray and CT Scan Classification using Ensemble Learning through Transfer Learning |
| title_full_unstemmed | Chest X-ray and CT Scan Classification using Ensemble Learning through Transfer Learning |
| title_short | Chest X-ray and CT Scan Classification using Ensemble Learning through Transfer Learning |
| title_sort | chest x ray and ct scan classification using ensemble learning through transfer learning |
| topic | COVID-19 Ensemble learning X-ray Transfer Learning |
| url | https://publications.eai.eu/index.php/sis/article/view/382 |
| work_keys_str_mv | AT salmanahmadsiddiqui chestxrayandctscanclassificationusingensemblelearningthroughtransferlearning AT nedafatima chestxrayandctscanclassificationusingensemblelearningthroughtransferlearning AT anwarahmad chestxrayandctscanclassificationusingensemblelearningthroughtransferlearning |