MORPHOLOGICAL CHARACTERIZATION OF COLORECTAL PITS USING AUTOFLUORESCENCE MICROSCOPY IMAGES.

Luciana Ariadna Erbes Ángel Alberto Zeitoune Humberto Maximiliano Torres Víctor Hugo Casco Javier Adur

Published in: Arquivos de gastroenterologia (2019)

These preliminaries outcomes could be considered an advance in two-dimensional pit characterization as the whole image processing, comparing to the conventional procedure, takes a few seconds to quantify and characterize non-pathological colon pits as well as to estimate early pathological stages of colorectal cancer.

Keyphrases

deep learning
optical coherence tomography
high resolution
single molecule
convolutional neural network
high throughput
minimally invasive
machine learning
adipose tissue
type diabetes
weight loss