Artificial intelligence (AI) processing for enhancing an intelligent sensor - I
This report has summarized the work done during the final year project. This project focuses on the reconstruction of photoacoustic images using deep learning algorithms. First, we learned the physical principles of photoacoustic imaging and the generation process of photoacoustic signals. In additi...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/158014 |
| _version_ | 1811690456036147200 |
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| author | Hu, Fuqiao |
| author2 | Zheng Yuanjin |
| author_facet | Zheng Yuanjin Hu, Fuqiao |
| author_sort | Hu, Fuqiao |
| collection | NTU |
| description | This report has summarized the work done during the final year project. This project focuses on the reconstruction of photoacoustic images using deep learning algorithms. First, we learned the physical principles of photoacoustic imaging and the generation process of photoacoustic signals. In addition, we introduced the knowledge of deep learning, especially convolutional neural networks.
After that, compared with different neural networks, such as U Net, Res U-Net, FD U-Net, we chose to make some improvements on the basis of the classic FD U-Net, and constructed the network used in this project.
Through preprocessing and data augmentation of the original dataset, we obtained training set, validation set and test set. Then, we trained the network, analyzed the performance of the network, and finally observe the reconstruction results of the network on the downsampled images. |
| first_indexed | 2024-10-01T06:04:17Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/158014 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:04:17Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1580142023-07-07T19:18:56Z Artificial intelligence (AI) processing for enhancing an intelligent sensor - I Hu, Fuqiao Zheng Yuanjin School of Electrical and Electronic Engineering YJZHENG@ntu.edu.sg Engineering::Electrical and electronic engineering This report has summarized the work done during the final year project. This project focuses on the reconstruction of photoacoustic images using deep learning algorithms. First, we learned the physical principles of photoacoustic imaging and the generation process of photoacoustic signals. In addition, we introduced the knowledge of deep learning, especially convolutional neural networks. After that, compared with different neural networks, such as U Net, Res U-Net, FD U-Net, we chose to make some improvements on the basis of the classic FD U-Net, and constructed the network used in this project. Through preprocessing and data augmentation of the original dataset, we obtained training set, validation set and test set. Then, we trained the network, analyzed the performance of the network, and finally observe the reconstruction results of the network on the downsampled images. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-26T23:36:50Z 2022-05-26T23:36:50Z 2022 Final Year Project (FYP) Hu, F. (2022). Artificial intelligence (AI) processing for enhancing an intelligent sensor - I. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158014 https://hdl.handle.net/10356/158014 en W2416-212 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Hu, Fuqiao Artificial intelligence (AI) processing for enhancing an intelligent sensor - I |
| title | Artificial intelligence (AI) processing for enhancing an intelligent sensor - I |
| title_full | Artificial intelligence (AI) processing for enhancing an intelligent sensor - I |
| title_fullStr | Artificial intelligence (AI) processing for enhancing an intelligent sensor - I |
| title_full_unstemmed | Artificial intelligence (AI) processing for enhancing an intelligent sensor - I |
| title_short | Artificial intelligence (AI) processing for enhancing an intelligent sensor - I |
| title_sort | artificial intelligence ai processing for enhancing an intelligent sensor i |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/158014 |
| work_keys_str_mv | AT hufuqiao artificialintelligenceaiprocessingforenhancinganintelligentsensori |