Breast Cancer Classification Using FCN and Beta Wavelet Autoencoder

In this paper, a new classification approach of breast cancer based on Fully Convolutional Networks (FCNs) and Beta Wavelet Autoencoder (BWAE) is presented. FCN, as a powerful image segmentation model, is used to extract the relevant information from mammography images. It will identify the relevant...

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Detalles Bibliográficos
Autores principales: AlEisa, Hussah Nasser, Touiti, Wajdi, Ali ALHussan, Amel, Ben Aoun, Najib, Ejbali, Ridha, Zaied, Mourad, Saadia, Ayesha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246636/
https://www.ncbi.nlm.nih.gov/pubmed/35785059
http://dx.doi.org/10.1155/2022/8044887

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246636/
https://www.ncbi.nlm.nih.gov/pubmed/35785059
http://dx.doi.org/10.1155/2022/8044887

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