Brain lesion image segmentation using modified U-NET architecture

Brain lesion image segmentation using modified U-NET architecture

Detecting stroke is important to reduce the likelihood of permanent disability and increase the chance of recovery. Brain stroke lesion segmentation is an important procedure, especially when a specific brain portion needs to be analyzed. In this project, a brain stroke lesion segmentation algorithm...

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Bibliographic Details
Main Authors: Lee, Xin Yin, Mohd Jamil, Mohamed Mokhtarudin, Ramli, Junid
Format: Conference or Workshop Item
Language:English
English
Published: Springer 2024
Subjects:
QA75 Electronic computers. Computer science
TJ Mechanical engineering and machinery
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/41975/1/Brain%20lesion%20image%20segmentation%20using%20modified%20U-NET.pdf
http://umpir.ump.edu.my/id/eprint/41975/2/Intelligent%20Manufacturing%20and%20Mechatronics.pdf

Internet

http://umpir.ump.edu.my/id/eprint/41975/1/Brain%20lesion%20image%20segmentation%20using%20modified%20U-NET.pdf
http://umpir.ump.edu.my/id/eprint/41975/2/Intelligent%20Manufacturing%20and%20Mechatronics.pdf

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