@inproceedings{d53c2a8e857d460b843ec31b1c122828,
title = "An{\'a}lisis microestructural en alimentos de origen vegetal: Una aproximaci{\'o}n con redes neuronales convolucionales",
abstract = "The microstructure is a factor in the knowledge and prediction of properties in food and the associated changes during processing. The objective of this work was to evaluate the feasibility of using a convolution neural network (CNN) for the discrimination of structures in foods of vegetable origin. Micrographs of pumpkin were processed digitally to improve the detection of structures (cells and intercellular spaces). Later the found elements were classified in two sets, using a trained operator. The implementation made use of a pre-trained network AlexNet, performing cross-validation, and one hundred repetitions randomizing the information delivered to the training and validation processes. The statistics obtained were accuracy and F-measure. Therefore, the use of convolutional neural networks shows potential for the discrimination of structures in foods of vegetal origin.",
keywords = "CNN, Digital image, micrograph, vegetal tissue",
author = "Wilson Castro and Hideaki Yoshida and Gil, \{Lucia Segui\} and Lopez, \{Luis Mayor\} and Jimy Oblitas and Miguel De-La-Torre and Himer Avila-George",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th International Conference on Software Process Improvement, CIMPS 2019 ; Conference date: 23-10-2019 Through 25-10-2019",
year = "2019",
month = oct,
doi = "10.1109/CIMPS49236.2019.9082421",
language = "Espa{\~n}ol",
series = "2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering",
editor = "\{Munoz Mata\}, \{Mirna A.\} and Miranda, \{Jezreel Mejia\} and Gasca-Hurtado, \{Gloria Piedad\} and Flores, \{Maria del Rosario Baltazar\} and Ramon, \{Abraham Eliseo Davila\}",
booktitle = "2019 8th International Conference on Software Process Improvement, CIMPS 2019 - Applications in Software Engineering",
}