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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Detalles Bibliográficos
Autores principales: Fayaz, Muhammad, Torokeldiev, Nurlan, Turdumamatov, Samat, Qureshi, Muhammad Shuaib, Qureshi, Muhammad Bilal, Gwak, Jeonghwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619601/
https://www.ncbi.nlm.nih.gov/pubmed/34833556
http://dx.doi.org/10.3390/s21227480

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619601/
https://www.ncbi.nlm.nih.gov/pubmed/34833556
http://dx.doi.org/10.3390/s21227480

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