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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Bibliografski detalji
Glavni autori: Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Format: Članak
Jezik:English
Izdano: Springer 2024-10-01
Serija:Discover Artificial Intelligence
Teme:
Autoencoder neural network
MR images
Segmentation
MRI
Brain tumor detection
Autoencoder
Online pristup:https://doi.org/10.1007/s44163-024-00180-x

Internet

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

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