Automatic Classification of Normal and Cancer Lung CT Images Using Multiscale AM-FM Features

Computer-aided diagnostic (CAD) systems provide fast and reliable diagnosis for medical images. In this paper, CAD system is proposed to analyze and automatically segment the lungs and classify each lung into normal or cancer. Using 70 different patients' lung CT dataset, Wiener filtering on th...

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Detalles Bibliográficos
Autores principales: Magdy, Eman, Zayed, Nourhan, Fakhr, Mahmoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4587437/
https://www.ncbi.nlm.nih.gov/pubmed/26451137
http://dx.doi.org/10.1155/2015/230830

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4587437/
https://www.ncbi.nlm.nih.gov/pubmed/26451137
http://dx.doi.org/10.1155/2015/230830

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