A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network

A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network

In this paper, we present a fully automatic brain tumor segmentation and classification model using a Deep Convolutional Neural Network that includes a multiscale approach. One of the differences of our proposal with respect to previous works is that input images are processed in three spatial scale...

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Bibliographic Details
Main Authors: Francisco Javier Díaz-Pernas, Mario Martínez-Zarzuela, Míriam Antón-Rodríguez, David González-Ortega
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Healthcare
Subjects:
brain tumor classification
deep learning
convolutional neural network
multiscale processing
data augmentation
MRI
Online Access:https://www.mdpi.com/2227-9032/9/2/153

Internet

https://www.mdpi.com/2227-9032/9/2/153

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