Modified U-Net for liver cancer segmentation from computed tomography images with a new class balancing method

BACKGROUND: Liver cancer is the sixth most common cancer worldwide. It is mostly diagnosed with a computed tomography scan. Nowadays deep learning methods have been used for the segmentation of the liver and its tumor from the computed tomography (CT) scan images. This research mainly focused on seg...

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Detalles Bibliográficos
Autores principales: Ayalew, Yodit Abebe, Fante, Kinde Anlay, Mohammed, Mohammed Aliy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919329/
https://www.ncbi.nlm.nih.gov/pubmed/33641679
http://dx.doi.org/10.1186/s42490-021-00050-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7919329/
https://www.ncbi.nlm.nih.gov/pubmed/33641679
http://dx.doi.org/10.1186/s42490-021-00050-y

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