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...

書目詳細資料
Main Authors:	Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
格式:	Article
語言:	English
出版:	Springer 2024-10-01
叢編:	Discover Artificial Intelligence
主題:	Autoencoder neural network MR images Segmentation MRI Brain tumor detection Autoencoder
在線閱讀:	https://doi.org/10.1007/s44163-024-00180-x

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