Improving the Otsu method for MRA image vessel extraction via resampling and ensemble learning

Improving the Otsu method for MRA image vessel extraction via resampling and ensemble learning

Accurate extraction of vessels plays an important role in assisting diagnosis, treatment, and surgical planning. The Otsu method has been used for extracting vessels in medical images. However, blood vessels in magnetic resonance angiography (MRA) image are considered as a sparse distribution. Pixel...

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Bibliographic Details
Main Author: Yuchou Chang
Format: Article
Language:English
Published: Wiley 2019-05-01
Series:Healthcare Technology Letters
Subjects:
blood vessels
learning (artificial intelligence)
medical image processing
biomedical MRI
image classification
image sampling
nonvessel tissue
traditional Otsu method
extracting vessels
MRA image vessel extraction
medical images
magnetic resonance angiography image
ensemble learning
resampling learning
surgical planning
p-tile algorithm
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2018.5031

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https://digital-library.theiet.org/content/journals/10.1049/htl.2018.5031

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