Deep learning-based classification of benign anorectal lesions on endoanal ultrasound: a proof-of-concept study
M
Maria João Almeida
M
Miguel Mascarenhas
M
Miguel Martins
F
Francisco Mendes
J
Joana Mota
P
Pedro Cardoso
(Centre for Ecology, Evolution and Environmental Changes (cE3c), Laboratory for Integrative Biodiversity Research (LIBRe), CHANGE - Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa)
A
António Pinto da Costa
P
Pedro Diaz Donoso
P
Pablo Farina
M
Matias La Francesca
M
Mateo Santillan
A
Ariadna Accialini
P
Pamela Jacinto
J
João Ferreira
B
Bruno Mendes
G
Guilherme Macedo
C
Castro Poças
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 1, Issue 1
Published
July 23, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (17)
M
Maria João Almeida
M
Miguel Mascarenhas
M
Miguel Martins
F
Francisco Mendes
J
Joana Mota
P
Pedro Cardoso
Centre for Ecology, Evolution and Environmental Changes (cE3c), Laboratory for Integrative Biodiversity Research (LIBRe), CHANGE - Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa
A
António Pinto da Costa
P
Pedro Diaz Donoso
P
Pablo Farina
M
Matias La Francesca
M
Mateo Santillan
A
Ariadna Accialini
P
Pamela Jacinto
J
João Ferreira
B
Bruno Mendes
G
Guilherme Macedo
C
Castro Poças
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