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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
التنسيق:	مقال
اللغة:	English
منشور في:	Springer 2024-10-01
سلاسل:	Discover Artificial Intelligence
الموضوعات:	Autoencoder neural network MR images Segmentation MRI Brain tumor detection Autoencoder
الوصول للمادة أونلاين:	https://doi.org/10.1007/s44163-024-00180-x

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