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An Efficient Implementation of Deep Convolutional Neural Networks for MRI Segmentation

Image segmentation is one of the most common steps in digital image processing, classifying a digital image into different segments. The main goal of this paper is to segment brain tumors in magnetic resonance images (MRI) using deep learning. Tumors having different shapes, sizes, brightness and te...

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Bibliographische Detailangaben
Veröffentlicht in:J Digit Imaging
Hauptverfasser: Hoseini, Farnaz, Shahbahrami, Asadollah, Bayat, Peyman
Format: Artigo
Sprache:Inglês
Veröffentlicht: Springer International Publishing 2018
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6148810/
https://ncbi.nlm.nih.gov/pubmed/29488179
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-018-0062-2
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