Medical image segmentation by convolutional neural network
The goal of this study will be to analyze outstanding deep learning network structures in the medical image processing field, thereby coming up with proposing a better network model that can improve performance productivity and quality of medical image segmentation challenges. In this study, the Une...
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| Κύριος συγγραφέας: | |
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| Άλλοι συγγραφείς: | |
| Γλώσσα: | eng |
| Έκδοση: |
逢 甲 大 學
2022
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| Διαθέσιμο Online: | https://opac.tvu.edu.vn/pages/opac/wpid-detailbib-id-39393.html |
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| Thư viện lưu trữ: | Trung tâm Học liệu – Phát triển Dạy và Học, Trường Đại học Trà Vinh |
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| Περίληψη: | The goal of this study will be to analyze outstanding deep learning network structures in the medical image processing field, thereby coming up with proposing a better network model that can improve performance productivity and quality of medical image segmentation challenges. In this study, the Unet model is used as the backbone architecture. The analysis will focus on the disadvantages of Unet and Unet-based models, thereby proposing methods to overcome the weaknesses and improve the efficiency of the proposed model. |
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