An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network

In this paper, a model based on discrete wavelet transform and convolutional neural network for brain MR image classification has been proposed. The proposed model is comprised of three main stages, namely preprocessing, feature extraction, and classification. In the preprocessing, the median filter...

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Autores principales:	Muhammad Fayaz, Nurlan Torokeldiev, Samat Turdumamatov, Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Jeonghwan Gwak
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2021-11-01
Colección:	Sensors
Materias:	classification convolutional neural network discrete wavelet transform MRI
Acceso en línea:	https://www.mdpi.com/1424-8220/21/22/7480
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