Deep Learning and Automatic Differentiation of Pancreatic Lesions in Endoscopic Ultrasound: A Transatlantic Study
Our group developed the first worldwide CNN capable of detecting and differentiating the commonest PCN and PSL in EUS images, using examinations from 4 centers in 2 continents, minimizing the impact of the demographic bias. Larger multicentric studies are needed for technology implementation.
Authors
- João Ferreira (ORCID: https://orcid.org/0000-0003-4310-2915)
- Yousef Fazel
- Maria João Almeida (ORCID: https://orcid.org/0000-0003-4061-8924)
- Marcos Lera
- Pedro Moutinho-Ribeiro (ORCID: https://orcid.org/0000-0002-4782-6489)
- Tiago Ribeiro (ORCID: https://orcid.org/0000-0002-2457-8339)
- Miguel Mascarenhas (ORCID: https://orcid.org/0000-0002-0340-0830)
- Belén Agudo (ORCID: https://orcid.org/0000-0003-2504-351X)
- Mariano González-Haba (ORCID: https://orcid.org/0000-0001-8025-1704)
- Francisco Mendes (ORCID: https://orcid.org/0000-0002-5890-7049)
- Tamas A. Gonda (ORCID: https://orcid.org/0000-0002-0093-3738)
- Filipe Vilas‐Boas (ORCID: https://orcid.org/0000-0001-7041-0863)
- Joana Fernandes (ORCID: https://orcid.org/0009-0009-8523-874X)
- João Afonso (ORCID: https://orcid.org/0000-0003-2088-2525)
- M. Guilherme (ORCID: https://orcid.org/0000-0001-7629-3477)
- Susana Lopes (ORCID: https://orcid.org/0000-0002-0407-6016)
- António Costa
- Eduardo Horneaux de Moura
- Alexandre Bestetti
- Jessica Widmer
Institutions
- Lower Manhattan Hospital (US)
- Universidade do Porto (PT)
- Hospital de São João (PT)
- NYU Langone Health (US)
- Hospital Universitario Puerta de Hierro Majadahonda (ES)
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR)
- New York University Langone Orthopedic Hospital (US)
- New York University (US)
Publication Details
- Journal
- Clinical and Translational Gastroenterology
- Published
- 2024-09-26
- DOI
- https://doi.org/10.14309/ctg.0000000000000771
- Citations
- 7
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 1.98