Best Practice Recommendations for the Implementation of a Digital Pathology Workflow

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.

UNIUD Daily Activities Accelerometer Dataset

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:




ESDIP Town Square Meeting: “Can I trust AI in Pathology?”

ESDIP Town Square Meeting
April 16, 2021 at 6 pm (CET)
“Can I trust AI … Continue Reading

Cause of death identification with deep learning

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

Our paper on the HEROHE challenge

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.

I grafici di MITEL sul Messaggero Veneto

Da oggi i grafici reperibili all’indirizzo vengono pubblicati anche dal Messaggero Veneto.


Coronavirus in Friuli – Venezia Giulia

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:


LoRaWAN per applicazioni sociosanitarie

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: TOC-mini

Della Mea V, Popescu MH, Gonano D, Petaros T, Emili I, Fattori MG. A Communication Infrastructure for the Health and Social Care Internet of Things: Proof-of-Concept Study. JMIR Med Inform 2020;8(2):e14583 DOI: 10.2196/14583

In sintesi: è un ottimo strumento per dispiegare rapidamente ed economicamente dispositivi IoT sanitari a casa dell’anziano o della … Continue Reading

Elaborazione ed Analisi di Bioimmagini con ImageJ: corso base e avanzato, Università dell’Insubria

Elaborazione ed Analisi di Bioimmagini con ImageJ: corso base e avanzato

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.

IATS 2019, The University of Nottingham

Image Analysis Training School 2019

Nottingham, 26-27 September 2019

The school returns for it’s third  year in 2019 and aims to provide a comprehensive overview of the current use of image analysis in pathology diagnosis and research including practical examples

  • Address how potential problems in image analysis can be resolved
  • How digital pathology can be integrated in the work-stream

The course is suitable for Trainee and Consultant Pathologists with little or no experience of image analysis and for non-clinical scientists/computer experts (who may have some experience with digital platforms) wishing to learn more about the techniques and application of image analysis. Teaching will be … Continue Reading