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

Volume / Issue Vol. 1, Issue 1
Published July 23, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

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