Maker Faire Rome 2023
Intelligenza artificiale come supporto alla diagnosi di epatocarcinoma
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. We designed a Machine Learning (ML) and a Deep Learning (DL) for nuclei classification by using features extracted by immunofluorescence images. We demonstrated the ability of the proposed models to classify liver nuclei segmented by immunofluorescence images, thus suggesting a potential useful tool for pathologists in HCC diagnosis.
Maker
Sapienza Università di Roma
Fabrizio Frezza received his Master degree in Electronic Engineering (cum laude) in 1986 and his Ph.D. in Applied Electromagnetics and Electrophysical Sciences in 1991 from the University of Rome "La Sapienza." In 1986 he began his work at the Department of Electronics, University of Rome "La Sapienza," where he was Researcher of Electromagnetic Fields from 1990 to 1998, Lecturer from 1994 to 1998, Associate Professor from 1998 to 2004, and Full Professor since 2005. His research activities have involved waveguides, antennas and electromagnetic resonators; mathematical and numerical methods, electromagnetic scattering, optics, free electromagnetic propagation, heating of thermonuclear plasmas, anisotropic materials, artificial materials and metamaterials, plasmonics, biomedical applications, applications to cultural and environmental heritage, applications of artificial intelligence to sensing and diagnostics, applications of magnetic resonance, electrical transmission lines, electromagnetic compatibility, spectroscopy, applications to terahertz, technology transfer, history of science and technology. Fabrizio Frezza is a Member of Sigma Xi and a Senior Member of IEEE, OSA and URSI. He is also a member of the Quadrato della Radio Association.
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