Classification of Primary Brain Tumors Using Convolutional Neural Network (CNN)

被引：0

作者：

Corrales Santamaria, Benigno ^{[1
]}

Cardenas Carreno, Erika ^{[1
]}

Gaona Barrera, Andres ^{[1
]}

机构：

[1] Univ Dist FJC, LAMIC, Bogota, Colombia

来源：

2022 IEEE COLOMBIAN CONFERENCE ON APPLICATIONS OF COMPUTATIONAL INTELLIGENCE (COLCACI 2022) | 2022年

关键词：

Brain Tumor Classification; Convolutional Neural Network; Magnetic Resonance Imaging; Artificial Neural Network;

D O I：

10.1109/ColCACI56938.2022.9905365

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The following article presents the development of a model based on convolutional neural networks for image classification of primary brain tumors (glioma, meningioma and pituitary) and healthy patients (non-tumor). For this purpose, a set of experiments is established where different hyperparameters are evaluated, comparing their performance based on performance indices, in order to select a useful model. Finally, a CNN architecture with an overall performance of 96% for four classes is presented.

引用

页数：6

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