Leveraging u-net architecture for accurate localization in brain tumor segmentation
This study presents an approach based on deep learning to segment brain tumors in medical imaging accurately. The segmentation of brain tumors plays a crucial role in diagnosing, planning treatments, and monitoring disease progression. However, existing methods have limitations such as time-consumin...
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Main Authors: | Poo, Jeckey Ng Kah, Saealal, Muhammad Salihin, Ibrahim, Mohd Zamri, Yakno, Marlina |
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格式: | Conference or Workshop Item |
語言: | English |
出版: |
2023
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在線閱讀: | http://eprints.utem.edu.my/id/eprint/27999/1/Leveraging%20U-Net%20architecture%20for%20accurate%20localization%20in%20brain%20tumor%20segmentation.pdf http://eprints.utem.edu.my/id/eprint/27999/ https://ieeexplore.ieee.org/document/10419915 |
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