Pathological Brain Detection Using Weiner Filtering, 2D-Discrete Wavelet Transform, Probabilistic PCA, and Random Subspace Ensemble Classifier

Accurate diagnosis of pathological brain images is important for patient care, particularly in the early phase of the disease. Although numerous studies have used machine-learning techniques for the computer-aided diagnosis (CAD) of pathological brain, previous methods encountered challenges in term...

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Detalles Bibliográficos
Autores principales: Jha, Debesh, Kim, Ji-In, Choi, Moo-Rak, Kwon, Goo-Rak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651159/
https://www.ncbi.nlm.nih.gov/pubmed/29118808
http://dx.doi.org/10.1155/2017/4205141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651159/
https://www.ncbi.nlm.nih.gov/pubmed/29118808
http://dx.doi.org/10.1155/2017/4205141

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