The objective of the SNOMED CT Entity Linking Challenge was to link spans of text in clinical notes with specific topics in the SNOMED CT clinical terminology. Mihai Horia Popescu, Kevin Roitero and Vincenzo Della Mea from the MITEL lab ranked 3rd in the SNOMED CT Entity Linking Challenge: https://drivendata.co/blog/snomed-ct-entity-linking-challenge-winners
Digital pathology (DP) and artificial intelligence (AI) have revolutionized the field of pathology. Although growing interest in DP & AI has been observed recently, there is still a reluctance to adopt this technology in routine clinical practice. Further, there is a need to harmonize this technology globally and bridge the knowledge gaps to get acquainted […]
Una lista di risorse utili per il minicorso su terminologie e classificazioni biomediche:
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/ Programme Monday 28th August, 2023 8:45 Introduction V.Della Mea, C.Di Loreto, D.Puig 9:00 Biopsies and WSI preparation C. Lopez, Laia Adalid 11:00 Prognostic […]
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 ranked in the winners group at the AGGC22 Challenge, during MICCAI 2022. Team members: Kevin Roitero, Vincenzo Della Mea.
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 […]
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 MeetingApril 16, 2021 at 6 pm (CET)“Can I trust AI in pathology?” Dear All, We are delighted to invite you to the ESDIP Town Square Meeting, a new series of informal events, starting on April 16, 2021, at 6:00 pm (CET) and aimed at promoting discussion around hot topics in digital and computational pathology. Developed […]
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