This paper is in the following e-collection/theme issue:

Machine Learning (52) Artificial Intelligence (1216) Machine Learning (1401) Decision Support for Health Professionals (1147) Clinical Information and Decision Making (1340) Imaging Informatics (187)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40702, first published .
Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation Study

Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation Study

Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation Study

Authors of this article:

Maria Montserrat Duh1 Author Orcid Image ;   Neus Torra-Ferrer1 Author Orcid Image ;   Meritxell Riera-Marín2 Author Orcid Image ;   Dídac Cumelles2 Author Orcid Image ;   Júlia Rodríguez-Comas2 Author Orcid Image ;   Javier García López2 Author Orcid Image ;   Mª Teresa Fernández Planas1 Author Orcid Image
Article Authors Cited by (2) Tweetations (7) Metrics

Maria Montserrat Duh   1 * , MD ;   Neus Torra-Ferrer   1 * , MD ;   Meritxell Riera-Marín   2 , MSc ;   Dídac Cumelles   2 , BSc ;   Júlia Rodríguez-Comas   2 , PhD ;   Javier García López   2 , PhD ;   Mª Teresa Fernández Planas   1 * , MD

1 Department of Radiology, Consorci Sanitari del Maresme (Hospital de Mataró), Mataró, Spain

2 Scientific and Technical Department, Sycai Technologies SL, Barcelona, Spain

*these authors contributed equally

Corresponding Author:

  • Mª Teresa Fernández Planas, MD
  • Department of Radiology
  • Consorci Sanitari del Maresme (Hospital de Mataró)
  • Carretera de Cirera, 230
  • Mataró, 08304
  • Spain
  • Phone: 34 674152399 ext 754
  • Email: mfernandezpl@csdm.cat