47 citations · 58 across the 6 of their papers we have counts for
6 papers
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification
Daniele Perlo, Luca Berton, Alessia Delpiano +4
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 corre…
UniToBrain dataset: a Brain Perfusion Dataset
Daniele Perlo, Enzo Tartaglione, Umberto Gava +3
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. The objective is to draw "perfusion…
Lung nodules segmentation from CT with DeepHealth toolkit
Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo +7
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. Globally, Lung…
Dysplasia grading of colorectal polyps through CNN analysis of WSI
Daniele Perlo, Enzo Tartaglione, Luca Bertero +2
Colorectal cancer is a leading cause of cancer death for both men and women. For this reason, histopathological characterization of colorectal polyps is the major instrument for th…
UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading
Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione +4
Histopathological characterization of colorectal polyps allows to tailor patients' management and follow up with the ultimate aim of avoiding or promptly detecting an invasive carc…
Post-synaptic potential regularization has potential
Enzo Tartaglione, Daniele Perlo, Marco Grangetto
Improving generalization is one of the main challenges for training deep neural networks on classification tasks. In particular, a number of techniques have been proposed, aiming t…