TY  - JOUR 
AU  - Davila Piñon, Pedro
AU  - Nogueira Rodríguez, Alba
AU  - Díez Martín, Astrid Irene
AU  - Codesido, Laura
AU  - Herrero, Jesús
AU  - Puga Gimenez de Azcárate, Manuel
AU  - Rivas Moral, Laura
AU  - Sánchez Hernández, Eloy
AU  - Fernández Riverola, Florentino
AU  - González Peña, Daniel
AU  - Reboiro Jato, Miguel
AU  - López Fernández, Hugo
AU  - Cubiella Fernández, Joaquín
PY  - 2024
UR  - http://hdl.handle.net/20.500.11940/22159
AB  - [EN] Background: PolyDeep is a computer-aided detection and classification (CADe/ x) system trained to detect and classify polyps. During colonoscopy, CADe/x systems help endoscopists to predict the histology of colonic lesions. Objective: To compare...
LA  - eng
KW  - Diagnostic Screening Programs
KW  - Colonoscopy
KW  - Artificial Intelligence
KW  - Deep Learning
KW  - Colonic Polyps
TI  - Optical diagnosis in still images of colorectal polyps: comparison between expert endoscopists and PolyDeep, a Computer-Aided Diagnosis system
DO  - https://doi.org/10.3389/fonc.2024.1393815
T2  - Frontiers in Oncology
M2  - 1393815
KW  - CHUO
KW  - IISGS
VL  - 14
ER  -