Investigating the Behaviour of Machine Learning Techniques to Segment Brain Metastases in Radiation Therapy Planning

Investigating the Behaviour of Machine Learning Techniques to Segment Brain Metastases in Radiation Therapy Planning

This work aimed to investigate whether automated classifiers belonging to feature-based and deep learning may approach brain metastases segmentation successfully. Support Vector Machine and V-Net Convolutional Neural Network are selected as representatives of the two approaches. In the experiments,...

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Bibliographic Details
Main Authors: Gloria Gonella, Elisabetta Binaghi, Paola Nocera, Cinzia Mordacchini
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Applied Sciences
Subjects:
MRI brain segmentation
brain metastases
machine learning
features extraction
convolutional neural network
medical software
Online Access:https://www.mdpi.com/2076-3417/9/16/3335

Internet

https://www.mdpi.com/2076-3417/9/16/3335

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