Leveraging u-net architecture for accurate localization in brain tumor segmentation

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, Mohd Zamri, Ibrahim, Marlina, Yakno
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/41910/
http://umpir.ump.edu.my/id/eprint/41910/1/Leveraging%20u-net%20architecture%20for%20accurate%20localization.pdf
http://umpir.ump.edu.my/id/eprint/41910/2/Leveraging%20u-net%20architecture%20for%20accurate%20localization%20in%20brain%20tumor%20segmentation_ABS.pdf

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