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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Bibliographic Details
Main Authors: Poo, Jeckey Ng Kah, Saealal, Muhammad Salihin, Ibrahim, Mohd Zamri, Yakno, Marlina
Format: Conference or Workshop Item
Language:English
Published: 2023
Online Access: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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