MAURIZIO TROIANO

PhD

PhD program:: XXXIII


advisor: Fabrizio Frezza

Thesis title: Tecniche di Machine Learning per l’identificazione di cellule di epatocarcinoma da immagini in immunofluorescenza

The method used to realize the automatic detection algorithm of hepatocellular carcinoma involves the segmentation of images of liver tissue obtained with a confocal microscope. Every single cell present in the analyzed tissue is segmented and inserted into a new image with a black background; the image obtained is processed by means of a wavelet transform, thus obtaining four different images of the same cell, each of which highlights different morphological characteristics of the same. From each of the four images the co-occurrence matrix is extracted to characterize its texture and on each co-occurrence matrix statistical functions that characterize the morphology as a whole are applied ; at the same time as the wavelet transform, the images are filtered with 4 Line detection filters, thus obtaining 4 images of the same cell with different details highlighted. From the filtered images Run-length matrices will be extracted and from them the statistical functions (features). At the end of this process each cell, present in the image of the initial report, will be represented by an array of numbers, which will be input to a neural network for automatic detection.

Research products

  • 11573/1291298 - 2019 - “Deep Learning for analysis of GPR images” (04b Atto di convegno in volume)
    DI GREGORIO, PIETRO PAOLO; MANGINI, FABIO; SIMEONI, PATRIZIO; TROIANO, MAURIZIO; FREZZA, FABRIZIO
  • 11573/1291306 - 2019 - Deep Learning for applications to Ground Penetrating Radar and electromagnetic diagnostic (04b Atto di convegno in volume)
    PONTI, FRANCESCA; DI GREGORIO, PIETRO PAOLO; MANGINI, FABIO; SIMEONI, PATRIZIO; TROIANO, MAURIZIO; FREZZA, FABRIZIO
  • 11573/1412516 - 2019 - F. Ponti, F. Barbuto, P. P. Di Gregorio, F. Mangini, P. Simeoni, M. Troiano, F. Frezza, “Deep Learning for analysis of GPR images”, Radar and Remote Sensing Workshop (RRSW) 2019, Roma, 30-31 maggio 2019. (04f Poster)
    PONTI, FRANCESCA; DI GREGORIO, PIETRO PAOLO; MANGINI, FABIO; SIMEONI, PATRIZIO; TROIANO, MAURIZIO; FREZZA, FABRIZIO
  • 11573/1443747 - 2020 - Machine learning for analysis of GPR images and electromagnetic diagnostics (04b Atto di convegno in volume)
    DI GREGORIO, PIETRO PAOLO; DINIA, LORENZO; FREZZA, FABRIZIO; MANGINI, FABIO; PONTI, FRANCESCA; TROIANO, MAURIZIO; SIMEONI, PATRIZIO
  • 11573/1653177 - 2021 - GPR radargrams analysis through machine learning approach (01a Articolo in rivista)
    PONTI, FRANCESCA; DI GREGORIO, PIETRO PAOLO; FREZZA, FABRIZIO; MANGINI, FABIO; PARISI, RAFFAELE; SIMEONI, PATRIZIO; TROIANO, MAURIZIO
  • 11573/1654334 - 2022 - Accurate classification of liver nuclei based on AI models for diagnostic support of hepatocellular carcinoma (04c Atto di convegno in rivista)
    GRIGNAFFINI, FLAVIA; TROIANO, MAURIZIO; SIMEONI, PATRIZIO; MANGINI, FABIO; MUZI, MARCO; PIAZZO, LORENZO; FREZZA, FABRIZIO

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