no code implementations • 25 Jan 2024 • Daniele Perlo, Luca Berton, Alessia Delpiano, Francesca Menchini, Stefano Tibaldi, Marco Grosso, Paolo Fonio
The liver is the most involved organ by distant metastasis in colon-rectal cancer (CRC) patients and it comes necessary to be aware of the mutational status of the lesions to correctly design the best individual treatment.
no code implementations • 25 Jan 2024 • Daniele Perlo, Georgia Kanli, Selma Boudissa, Olivier Keunen
This research paper presents a novel approach to the prediction of hypoxia in brain tumors, using multi-parametric Magnetic Resonance Imaging (MRI).
no code implementations • 1 Aug 2022 • Daniele Perlo, Enzo Tartaglione, Umberto Gava, Federico D'Agata, Edwin Benninck, Mauro Bergui
The CT perfusion (CTP) is a medical exam for measuring the passage of a bolus of contrast solution through the brain on a pixel-by-pixel basis.
no code implementations • 1 Aug 2022 • Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino
The accurate and consistent border segmentation plays an important role in the tumor volume estimation and its treatment in the field of Medical Image Segmentation.
no code implementations • 10 Feb 2021 • Daniele Perlo, Enzo Tartaglione, Luca Bertero, Paola Cassoni, Marco Grangetto
Colorectal cancer is a leading cause of cancer death for both men and women.
1 code implementation • 25 Jan 2021 • Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto
Histopathological characterization of colorectal polyps allows to tailor patients' management and follow up with the ultimate aim of avoiding or promptly detecting an invasive carcinoma.
Ranked #1 on Colorectal Polyps Characterization on UNITOPATHO
Colorectal Polyps Characterization General Classification +3
1 code implementation • 19 Jul 2019 • Enzo Tartaglione, Daniele Perlo, Marco Grangetto
Improving generalization is one of the main challenges for training deep neural networks on classification tasks.