Data augmentation using rotation and shifting
In recent times, the usage of Deep Learning has been on the rise in the medical industry. It helps automate many different aspects of the Medical Field and there is still room for improvement in the different aspects. For this project, it will focus on the use of deep learning for image classificati...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/176102 |
| _version_ | 1811677529063292928 |
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| author | Muhammad Haziq Bin Mornin |
| author2 | Wang Lipo |
| author_facet | Wang Lipo Muhammad Haziq Bin Mornin |
| author_sort | Muhammad Haziq Bin Mornin |
| collection | NTU |
| description | In recent times, the usage of Deep Learning has been on the rise in the medical industry. It helps automate many different aspects of the Medical Field and there is still room for improvement in the different aspects. For this project, it will focus on the use of deep learning for image classification of chest X-ray (CXR) scans of the human body for diseases. The usage of Augmentation in supervised learning has been shown to improve the efficiency of the deep learning model.
This project will focus on the effectiveness of using Augmentation methods, Shifting, and Rotation, to train a Convolution Neural Network (CNN) model to help improve Image Classification in the medical industry [1]. Since this project is a follow-up of a previous study, it would follow the main sequence of testing to obtain results. |
| first_indexed | 2024-10-01T02:38:49Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/176102 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:38:49Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1761022024-05-17T15:44:14Z Data augmentation using rotation and shifting Muhammad Haziq Bin Mornin Wang Lipo School of Electrical and Electronic Engineering ELPWang@ntu.edu.sg Engineering Deep learning Data augmentation In recent times, the usage of Deep Learning has been on the rise in the medical industry. It helps automate many different aspects of the Medical Field and there is still room for improvement in the different aspects. For this project, it will focus on the use of deep learning for image classification of chest X-ray (CXR) scans of the human body for diseases. The usage of Augmentation in supervised learning has been shown to improve the efficiency of the deep learning model. This project will focus on the effectiveness of using Augmentation methods, Shifting, and Rotation, to train a Convolution Neural Network (CNN) model to help improve Image Classification in the medical industry [1]. Since this project is a follow-up of a previous study, it would follow the main sequence of testing to obtain results. Bachelor's degree 2024-05-14T02:25:09Z 2024-05-14T02:25:09Z 2024 Final Year Project (FYP) Muhammad Haziq Bin Mornin (2024). Data augmentation using rotation and shifting. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176102 https://hdl.handle.net/10356/176102 en A3223-231 application/pdf Nanyang Technological University |
| spellingShingle | Engineering Deep learning Data augmentation Muhammad Haziq Bin Mornin Data augmentation using rotation and shifting |
| title | Data augmentation using rotation and shifting |
| title_full | Data augmentation using rotation and shifting |
| title_fullStr | Data augmentation using rotation and shifting |
| title_full_unstemmed | Data augmentation using rotation and shifting |
| title_short | Data augmentation using rotation and shifting |
| title_sort | data augmentation using rotation and shifting |
| topic | Engineering Deep learning Data augmentation |
| url | https://hdl.handle.net/10356/176102 |
| work_keys_str_mv | AT muhammadhaziqbinmornin dataaugmentationusingrotationandshifting |