Deep Learning Framework for Liver Segmentation from T(1)-Weighted MRI Images

The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological images, which can be further processed for computer-aided diagnosis. Magnet...

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Detalles Bibliográficos
Autores principales: Hossain, Md. Sakib Abrar, Gul, Sidra, Chowdhury, Muhammad E. H., Khan, Muhammad Salman, Sumon, Md. Shaheenur Islam, Bhuiyan, Enamul Haque, Khandakar, Amith, Hossain, Maqsud, Sadique, Abdus, Al-Hashimi, Israa, Ayari, Mohamed Arselene, Mahmud, Sakib, Alqahtani, Abdulrahman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650219/
https://www.ncbi.nlm.nih.gov/pubmed/37960589
http://dx.doi.org/10.3390/s23218890

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650219/
https://www.ncbi.nlm.nih.gov/pubmed/37960589
http://dx.doi.org/10.3390/s23218890

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