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Fully Automatic Liver and Tumor Segmentation from CT Image Using an AIM-Unet

The segmentation of the liver is a difficult process due to the changes in shape, border, and density that occur in each section in computed tomography (CT) images. In this study, the Adding Inception Module-Unet (AIM-Unet) model, which is a hybridization of convolutional neural networks-based Unet...

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Detalles Bibliográficos
Autores principales: Özcan, Fırat, Uçan, Osman Nuri, Karaçam, Songül, Tunçman, Duygu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951904/
https://www.ncbi.nlm.nih.gov/pubmed/36829709
http://dx.doi.org/10.3390/bioengineering10020215