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).
ESDIP Town Square Meeting April 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 by the Educational Committee of ESDIP, under the supervision of Vincenzo Della Mea, from the University of Udine and Arvydas Laurinavičius from Vilnius University, this first meeting is titled “Can I trust AI in Pathology?”.
The main focus will be the role of artificial intelligence in pathology: the technology appears to be ready, but how reliable it is for the adoption in routine pathology practice?
The guests, Joe Saltz of the State University of New York at Stony Brook and Andrew Janowczyk of Case Western Reserve University, will briefly introduce their point of view about the title topic, then giving the floor to the public.
The valuable input from attendees, together with the expert views, will contribute to a better understanding of the advances as well as their possible clinical applications.
The workshop is free. You are welcome to attend, listen to the experts, and contribute with your viewpoint.To attend ESDIP Town Square Meeting, please send an email to admin@digitalpathologysociety.org until April 15, 2021. (Note: In case you have already submitted our registration and receive an email confirming it, please ignore this email).
Sincerely,
Vincenzo Della Mea, Chair of the Educational Committee of ESDIP On behalf of the Educational Committee of ESDIP
https://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.png00adminhttps://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.pngadmin2021-04-14 21:17:002024-03-04 21:20:33ESDIP Town Square Meeting: “Can I trust AI in Pathology?”
https://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.png00adminhttps://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.pngadmin2020-10-23 21:21:002024-03-04 21:22:22Cause of death identification with deep learning
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. Imaging2020, 6, 82.
https://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.png00adminhttps://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.pngadmin2020-08-24 21:22:002024-03-04 21:23:28Our paper on the HEROHE challenge
https://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.png00adminhttps://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.pngadmin2020-03-31 21:23:002024-03-05 13:03:19I grafici di MITEL sul 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/site/wp-content/uploads/2024/03/main-logo-300x84.png00adminhttps://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.pngadmin2020-03-19 21:25:002024-03-05 13:03:44Coronavirus in Friuli – Venezia Giulia
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 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 persona fragile, purché i dispositivi non siano da usare in urgenza/emergenza o per scambiare grandi quantità di dati.
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
https://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.png00adminhttps://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.pngadmin2019-11-10 09:22:002024-03-05 09:23:22Elaborazione ed Analisi di Bioimmagini con ImageJ: corso base e avanzato, Università dell’Insubria
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 delivered in the form of formal lectures and interactive work projects.
https://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.png00adminhttps://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.pngadmin2019-09-18 09:23:002024-03-05 09:24:46IATS 2019, The University of Nottingham
https://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.png00adminhttps://mitel.dimi.uniud.it/site/wp-content/uploads/2024/03/main-logo-300x84.pngadmin2019-09-05 09:25:002024-03-05 09:26:09ICD-11 Workshop at the Meeting of the GMDS
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?”
April 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 by the Educational Committee of ESDIP, under the supervision of Vincenzo Della Mea, from the University of Udine and Arvydas Laurinavičius from Vilnius University, this first meeting is titled “Can I trust AI in Pathology?”.
The main focus will be the role of artificial intelligence in pathology: the technology appears to be ready, but how reliable it is for the adoption in routine pathology practice?
The guests, Joe Saltz of the State University of New York at Stony Brook and Andrew Janowczyk of Case Western Reserve University, will briefly introduce their point of view about the title topic, then giving the floor to the public.
The valuable input from attendees, together with the expert views, will contribute to a better understanding of the advances as well as their possible clinical applications.
The workshop is free. You are welcome to attend, listen to the experts, and contribute with your viewpoint.To attend ESDIP Town Square Meeting, please send an email to
admin@digitalpathologysociety.org until April 15, 2021. (Note: In case you have already submitted our registration and receive an email confirming it, please ignore this email).
Sincerely,
Vincenzo Della Mea, Chair of the Educational Committee of ESDIP
On behalf of the Educational Committee of ESDIP
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
I grafici di MITEL sul Messaggero Veneto
Da oggi i grafici reperibili all’indirizzo https://mitel.dimi.uniud.it/covid-19-fvg/ 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:
https://mitel.dimi.uniud.it/covid-19-fvg/
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 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 persona fragile, purché i dispositivi non siano da usare in urgenza/emergenza o per scambiare grandi quantità di dati.
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
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 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 delivered in the form of formal lectures and interactive work projects.
Faculty:
Dr Gloria Bueno
Prof Vincenzo Della Mea
Prof Mohammad Ilyas
Prof Gabriel Landini
Dr Abhik Mukherjee
Dr Liron Pantanowitz
Dr Alain Pitiot
Prof Nasir Rajpoot
Dr Norman Zerbe
ICD-11 Workshop at the Meeting of the GMDS
CD-11 Workshop at the Meeting of the German Medical Informatics Association (GMDS) in Dortmund: 10th September 2019, 1445-18.