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.

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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
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article

Deep Learning and Automatic Differentiation of Pancreatic Lesions in Endoscopic Ultrasound: A Transatlantic Study

João Ferreira, Yousef Fazel, Maria João Almeida, Marcos Lera et al.
7 citations
Clinical and Translational Gastroenterology
Pancreatic and Hepatic Oncology Research
1.98
article

Deep Learning and Automatic Differentiation of Pancreatic Lesions in Endoscopic Ultrasound: A Transatlantic Study

João Ferreira, Yousef Fazel, Maria João Almeida, Marcos Lera, Pedro Moutinho-Ribeiro, Tiago Ribeiro, Miguel Mascarenhas, Belén Agudo, Mariano González-Haba, Francisco Mendes, Tamas A. Gonda, Filipe Vilas‐Boas, Joana Fernandes, João Afonso, M. Guilherme, Susana Lopes, António Costa, Eduardo Horneaux de Moura, Alexandre Bestetti, Jessica Widmer
article en
7 citations

Abstract

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.

Clinical and Translational GastroenterologyVol. 15(11)
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)
Partnerships for the goals
Openalex Percentile: Top 11%
Pancreatic and Hepatic Oncology Research
1.98
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