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...

Полное описание

Библиографические подробности
Главные авторы:	Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Формат:	Статья
Язык:	English
Опубликовано:	Springer 2024-10-01
Серии:	Discover Artificial Intelligence
Предметы:	Autoencoder neural network MR images Segmentation MRI Brain tumor detection Autoencoder
Online-ссылка:	https://doi.org/10.1007/s44163-024-00180-x

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