Segmentation of Brain Tumors from MRI Images Using Convolutional Autoencoder

The use of machine learning algorithms and modern technologies for automatic segmentation of brain tissue increases in everyday clinical diagnostics. One of the most commonly used machine learning algorithms for image processing is convolutional neural networks. We present a new convolutional neural...

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Bibliographic Details
Published in:	Applied sciences Vol. 11; no. 9; p. 4317
Main Authors:	Badža, Milica M., Barjaktarović, Marko Č.
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.05.2021
Subjects:	Accuracy Algorithms Brain cancer brain tumor segmentation Classification Clinical medicine Competition convolutional neural network Datasets Image databases image segmentation Internet Machine learning Magnetic resonance imaging medical imaging Medical research Neural networks Semantics Tumors
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
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