Light Weighted Healthcare CNN Model to Detect Prostate Cancer on Multiparametric MRI

The SEMRCNN model is proposed for autonomously extracting prostate cancer locations from regions of multiparametric magnetic resonance imaging (MP-MRI). Feature maps are explored in order to provide fine segmentation based on the candidate regions. Two parallel convolutional networks retrieve these...

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Detalles Bibliográficos
Autores principales: Soni, Mukesh, Khan, Ihtiram Raza, Babu, K. Suresh, Nasrullah, Syed, Madduri, Abhishek, Rahin, Saima Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167116/
https://www.ncbi.nlm.nih.gov/pubmed/35669675
http://dx.doi.org/10.1155/2022/5497120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167116/
https://www.ncbi.nlm.nih.gov/pubmed/35669675
http://dx.doi.org/10.1155/2022/5497120

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