Segmentation of MR images for brain tumor detection using autoencoder neural network

Segmentation of MR images for brain tumor detection using autoencoder neural network

Abstract Medical images often require segmenting into different regions in the first analysis stage. Relevant features are selected to differentiate various regions from each other, and the images are segmented into meaningful (anatomically significant) regions based on these features. The purpose o...

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Bibliografische gegevens
Hoofdauteurs: Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Formaat: Artikel
Taal:English
Gepubliceerd in: Springer 2024-10-01
Reeks:Discover Artificial Intelligence
Onderwerpen:
Autoencoder neural network
MR images
Segmentation
MRI
Brain tumor detection
Autoencoder
Online toegang:https://doi.org/10.1007/s44163-024-00180-x

Internet

https://doi.org/10.1007/s44163-024-00180-x

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