Introduction. Hepatocellular carcinoma (HCC) is the most common primary liver cancer worldwide. Early diagnosis is crucial to improve management and provide survival benefits to patients with HCC. Liver biopsy coupled to histopathology remains the “gold standard”. Visual inspection of biopsy images is a crucial examination to identify tissue and cellular alterations related to HCC, but it is limited by long timelines and by the variability in interpretation. Therefore, recent advances in digital microscopy and automatic image analysis have been developed for HCC classification, thus facilitating the final diagnosis.
Accurate classification of liver nuclei based on AI models for diagnostic support of hepatocellular carcinoma / Grignaffini, F.; Troiano, M.; Barbuto, F.; De Stefanis, C.; Simeoni, P.; Mangini, F.; Muzi, M.; Piazzo, L.; Frezza, F.; Alisi, A.. - In: DIGESTIVE AND LIVER DISEASE. - ISSN 1590-8658. - (2022). ((Intervento presentato al convegno MONOTHEMATIC CONFERENCE 2022 "Artificial Intelligence and liver diseases" tenutosi a Roma.
Accurate classification of liver nuclei based on AI models for diagnostic support of hepatocellular carcinoma
F. Grignaffini;M. Troiano;F. Barbuto;C. De Stefanis;P. Simeoni;F. Mangini;M. Muzi;L. Piazzo;F. Frezza;A. Alisi
2022
Abstract
Introduction. Hepatocellular carcinoma (HCC) is the most common primary liver cancer worldwide. Early diagnosis is crucial to improve management and provide survival benefits to patients with HCC. Liver biopsy coupled to histopathology remains the “gold standard”. Visual inspection of biopsy images is a crucial examination to identify tissue and cellular alterations related to HCC, but it is limited by long timelines and by the variability in interpretation. Therefore, recent advances in digital microscopy and automatic image analysis have been developed for HCC classification, thus facilitating the final diagnosis.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.