Terminologie e classificazioni biomediche

Una lista di risorse utili per il minicorso su terminologie e classificazioni biomediche:

1st MSCA BosomShield Summer School

From 28th August to 1st September, 2023 the University of Udine will host the 1st MSCA BosomShield Summer School, devoted to Image Analysis for Biomedical Imaging and specifically for Radiology and Pathology.





Final programme here: https://mitel.dimi.uniud.it/bosomshield/


Monday 28th August, 2023

V.Della Mea, C.Di Loreto, D.Puig

Biopsies and WSI preparation
C. Lopez, Laia Adalid

Prognostic factors in breast cancer
Enrico Pegolo

Lunch break

Introduction to AI in Digital Pathology: Background
Izidor Mlakar

Introduction to WSI Image Analysis
Anna Korzynska… Continue Reading

Harmonization of WHO-FIC Classifications

Recent results of the Harmonization WG @WHOICD11 are finally out:

Della Mea V, Almborg A-H, Martinuzzi M, Tu SW, Martinuzzi A (2023) Harmonization of ICF Body Structures and ICD-11 Anatomic Detail: One foundation for multiple classifications. PLoS ONE 18(7): e0280106. https://doi.org/10.1371/journal.pone.0280106


1st MSCA Doctoral Network “BosomShield” meeting

On 11-12 May, 2023 the MSCA BosomShield Consortium is doing its first in presence meeting in Tarragona, Spain, at the University Rovira i Virgili. 10 Doctoral candidates, their supervisors, and other project partner will share their projects, with the ultimate goal of recognizing breast cancer relapse from radiological and pathological images and data by means of artificial intelligence.


MITEL in the Winners group at the AGGC22 Challenge, MICCAI 2022

MITEL ranked in the winners group at the AGGC22 Challenge, during MICCAI 2022. Team members: Kevin Roitero, Vincenzo Della Mea.


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. https://doi.org/10.3390/diagnostics11112167

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:

-Github:  https://github.com/MITEL-UNIUD/UNIUD-DA-AD

-Kaggle:  https://www.kaggle.com/vdellamea/uniud-daily-activities-accelerometer-dataset/ 


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.