Deep learning segmentation of brain ischemic lesion from magnetic resonance images for three-dimensional modelling

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Deep learning segmentation of brain ischemic lesion from magnetic resonance images for three-dimensional modelling

Automated segmentation is important for early detection and treatments to reduce disability and death risks among brain stroke patients. The existing segmentation algorithm is limited due to its computationally expensiveness in achieving a small accuracy. This work aims to develop a computationally...

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Bibliographic Details
Main Authors:	Muhammad Ismaill, Mat Lizah, Nasrul Hadi, Johari, Mohd Jamil, Mohamed Mokhtarudin
Format:	Article
Language:	English
Published:	Faculty Mechanical Engineering, UMP 2025
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/44249/ http://umpir.ump.edu.my/id/eprint/44249/1/7.%2Blizah%2Bet%2Bal._0824.pdf

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