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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Μορφή:	Άρθρο
Γλώσσα:	English
Έκδοση:	Springer 2024-10-01
Σειρά:	Discover Artificial Intelligence
Θέματα:	Autoencoder neural network MR images Segmentation MRI Brain tumor detection Autoencoder
Διαθέσιμο Online:	https://doi.org/10.1007/s44163-024-00180-x

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