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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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書誌詳細
主要な著者:	Poo, Jeckey Ng Kah, Saealal, Muhammad Salihin, Ibrahim, Mohd Zamri, Yakno, Marlina
フォーマット:	Conference or Workshop Item
言語:	English
出版事項:	2023
オンライン･アクセス:	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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