Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging

Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging

Accurate brain tissue segmentation in magnetic resonance imaging (MRI) has attracted the attention of medical doctors and researchers since variations in tissue volume and shape permit diagnosing and monitoring neurological diseases. Several proposals have been designed throughout the years comprisi...

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Bibliographic Details
Main Authors: Jose Bernal, Kaisar Kushibar, Mariano Cabezas, Sergi Valverde, Arnau Oliver, Xavier Llado
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Quantitative analysis
brain MRI
tissue segmentation
fully convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/8754679/

Internet

https://ieeexplore.ieee.org/document/8754679/

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