Hepatocellular carcinoma (HCC) is the most common primary liver cancer worldwide [1]. Histopathology is crucial for its diagnosis [2], but visual inspection of the architecture of the nuclei is limited by the long time and variety of interpretations. Automatic diagnostic systems could prove to be life-saving tools.
Artificial Intelligence (AI) methods to support the diagnosis of hepatocellular carcinoma / Grignaffini, F.; Troiano, M.; Barbuto, F.; Paloni, G.; De Stefanis, C.; Simeoni, P.; Mangini, F.; Piazzo, L.; Alisi, A.; Frezza, F.. - (2024). (Intervento presentato al convegno Workshop Sharescience 2024 tenutosi a Roma).
Artificial Intelligence (AI) methods to support the diagnosis of hepatocellular carcinoma
F. Grignaffini;M. Troiano;G. Paloni;C. De Stefanis;P. Simeoni;F. Mangini;L. Piazzo;A. Alisi;F. Frezza
2024
Abstract
Hepatocellular carcinoma (HCC) is the most common primary liver cancer worldwide [1]. Histopathology is crucial for its diagnosis [2], but visual inspection of the architecture of the nuclei is limited by the long time and variety of interpretations. Automatic diagnostic systems could prove to be life-saving tools.File allegati a questo prodotto
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