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...

書誌詳細
主要な著者:	Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
フォーマット:	論文
言語:	English
出版事項:	Springer 2024-10-01
シリーズ:	Discover Artificial Intelligence
主題:	Autoencoder neural network MR images Segmentation MRI Brain tumor detection Autoencoder
オンライン･アクセス:	https://doi.org/10.1007/s44163-024-00180-x

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