TY  - CONF
AU  - Cristina Sanchez Montes
AU  - F. Javier Sanchez
AU  - Cristina Rodriguez de Miguel
AU  - Henry Cordova
AU  - Jorge Bernal
AU  - Maria Lopez Ceron
AU  - Josep Llach
AU  - Gloria Fernandez Esparrach
A2  - ESGE
PY  - 2017//
TI  - Histological Prediction Of Colonic Polyps By Computer Vision. Preliminary Results
BT  - 25th United European Gastroenterology Week
KW  - polyps
KW  - histology
KW  - computer vision
N2  - during colonoscopy, clinicians perform visual inspection of the polyps to predict histology. Kudo’s pit pattern classification is one of the most commonly used for optical diagnosis. These surface patterns present a contrast with respect to their neighboring regions and they can be considered as bright regions in the image that can attract the attention of computational methods.
L1  - http://refbase.cvc.uab.es/files/SSR2017.pdf
N1  - MV; no menciona
ID  - Cristina Sanchez Montes2017
ER  -