Development of a Convolutional Neural Network Based Skull Segmentation in MRI Using Standard Tesselation Language Models

Development of a Convolutional Neural Network Based Skull Segmentation in MRI Using Standard Tesselation Language Models

Segmentation is crucial in medical imaging analysis to help extract regions of interest (ROI) from different imaging modalities. The aim of this study is to develop and train a 3D convolutional neural network (CNN) for skull segmentation in magnetic resonance imaging (MRI). 58 gold standard volumetr...

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Bibliographic Details
Main Authors: Rodrigo Dalvit Carvalho da Silva, Thomas Richard Jenkyn, Victor Alexander Carranza
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Journal of Personalized Medicine
Subjects:
convolutional neural network
standard tessellation language
image segmentation
MRI
CT
Online Access:https://www.mdpi.com/2075-4426/11/4/310

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