Entries by admin

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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/ 

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

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 […]

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 https://www.sciencedirect.com/science/article/pii/S2352914820306067

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. https://www.mdpi.com/2313-433X/6/9/82

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: https://mitel.dimi.uniud.it/covid-19-fvg/

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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:  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 […]

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IATS 2019, The University of Nottingham

Image Analysis Training School 2019 Nottingham, 26-27 September 2019 https://www.nmpn.info/imageanalysis2019 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 The course is suitable for Trainee and Consultant Pathologists with little or no experience […]