A transfer learning approach for the classification of liver cancer

The frequency of liver cancer is rising worldwide, and it is a common, deadly condition. For successful treatment and patient survival, early and precise diagnosis is essential. The automated classification of liver cancer using medical imaging data has shown potential outcome when employing machine...

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Bibliographic Details
Main Authors: Abdulsahib Fatimah I., Al-Khateeb Belal, Kóczy László T., Nagy Szilvia
Format: Article
Language:English
Published: De Gruyter 2023-12-01
Series:Journal of Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1515/jisys-2023-0119