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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak:	Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Formatua:	Artikulua
Hizkuntza:	English
Argitaratua:	Springer 2024-10-01
Saila:	Discover Artificial Intelligence
Gaiak:	Autoencoder neural network MR images Segmentation MRI Brain tumor detection Autoencoder
Sarrera elektronikoa:	https://doi.org/10.1007/s44163-024-00180-x

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