MITEL ranked in the winners group at the AGGC22 Challenge, during MICCAI 2022. Team members: Kevin Roitero, Vincenzo Della Mea.
Tags: digitalpathology
The European Society of Digital and Integrative Pathology (ESDIP) just published a paper on the implement Implementation of a Digital Pathology Workflow, with the participation of MITEL:
Fraggetta F, L’Imperio V, Ameisen D, Carvalho R, Leh S, Kiehl T-R, Serbanescu M, Racoceanu D, Della Mea V, Polonia A, Zerbe N, Eloy C. Best Practice Recommendations for the Implementation of a Digital Pathology Workflow in the Anatomic Pathology Laboratory by the European Society of Digital and Integrative Pathology (ESDIP). Diagnostics. 2021; 11(11):2167. https://doi.org/10.3390/diagnostics11112167
We decided to make public a dataset we used for a work some year ago (accelerometer data for daily activities): UNIUD Daily Activities Accelerometer Dataset (UNIUD-DA-AD).
Available at:
-Github: https://github.com/MITEL-UNIUD/UNIUD-DA-AD
-Kaggle: https://www.kaggle.com/vdellamea/uniud-daily-activities-accelerometer-dataset/
ESDIP Town Square Meeting
April 16, 2021 at 6 pm (CET)
“Can I trust AI … Continue Reading
The last (open access) paper from our lab:
Underlying cause of death identification from death certificates using reverse coding to text and a NLP based deep learning approach
Vincenzo Della Mea, Mihai Horia Popescu, Kevin Roitero
Informatics in Medicine Unlocked, Volume 21, 2020, 100456
https://www.sciencedirect.com/science/article/pii/S2352914820306067
Our paper about the method that allowed us to reach the 2nd place in the HEROHE challenge is finally out:
La Barbera, D.; Polonia, A.; Roitero, K.; Econde-Sousa, E; Della Mea, V. Detection of HER2 from Haematoxylin-Eosin Slides Through a Cascade of Deep Learning Classifiers via Multi-Instance Learning. J. Imaging 2020, 6, 82.
Da oggi i grafici reperibili all’indirizzo https://mitel.dimi.uniud.it/covid-19-fvg/ vengono pubblicati anche dal Messaggero Veneto.
Una paginetta di riassunto veloce sulla situazione coronavirus in Friuli – Venezia Giulia, fatta sfruttando gli open data della Protezione Civile e la libreria charts.js:
https://mitel.dimi.uniud.it/covid-19-fvg/
Il Laboratorio MITEL, in collaborazione con Cimtech srl e MIPOT spa, ha appena pubblicato un articolo sulla rivista JMIR Medical Informatics (IF: 3.188) che riassume gli esiti del progetto PollicIoT riguardo l’applicabilità di LoRaWAN all’ambito sociosanitario: 
25-26-27 novembre 2019
Sede: Università dell’Insubria, Via Alberto da Giussano 12, Busto Arsizio, Aula informatica Orario delle lezioni: Lunedì 11-18; martedì e mercoledì: 9.30-16.30.
Docente: Prof. Vincenzo Della Mea – Università di Udine
Info qui.