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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Dettagli Bibliografici
Autori principali:	Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Natura:	Articolo
Lingua:	English
Pubblicazione:	Springer 2024-10-01
Serie:	Discover Artificial Intelligence
Soggetti:	Autoencoder neural network MR images Segmentation MRI Brain tumor detection Autoencoder
Accesso online:	https://doi.org/10.1007/s44163-024-00180-x

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