@inproceedings{747b4b9861604ed6baf8926d2f54a930,
title = "Cervix Type Classification Using Convolutional Neural Networks",
abstract = "Cervical cancer is still a significant cause of death, especially in developing countries. The detection and correct treatment of the disease is vital in its early stages. One of the key factors in selecting appropriate treatment is the identification of the cervix type. The objective of this work is to propose a Convolutional Neural Network (CNN) architecture to perform a classification of the cervix from a set of images published by Intel and MobileODT. The proposed architecture is combined with a preprocessing algorithm based on an assembly of color models to select the region of interest in the image. The obtained model provides better results than other models in which transfer learning is used or there is no preprocessing stage.",
keywords = "Adamax, Cervical cancer, Color models, Convolutional Neural Network",
author = "Cruz, {Daniel A.} and Carmen Villar-Pati{\~n}o and Elizabeth Guevara and Marisol Martinez-Alanis",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 8th Latin American Conference on Biomedical Engineering and the 42nd National Conference on Biomedical Engineering, CLAIB-CNIB 2019 ; Conference date: 02-10-2019 Through 05-10-2019",
year = "2020",
month = jan,
day = "1",
doi = "10.1007/978-3-030-30648-9_49",
language = "Ingl{\'e}s",
isbn = "9783030306472",
series = "IFMBE Proceedings",
publisher = "Springer",
pages = "377--384",
editor = "{Gonz{\'a}lez D{\'i}az}, {C{\'e}sar A.} and {Chapa Gonz{\'a}lez}, Christian and {Laciar Leber}, Eric and V{\'e}lez, {Hugo A.} and Puente, {Norma P.} and Dora-Luz Flores and Andrade, {Adriano O.} and Galv{\'a}n, {H{\'e}ctor A.} and Fabiola Mart{\'i}nez and Renato Garc{\'i}a and Trujillo, {Citlalli J.} and Mej{\'i}a, {Aldo R.}",
booktitle = "8th Latin American Conference on Biomedical Engineering and 42nd National Conference on Biomedical Engineering - Proceedings of CLAIB-CNIB 2019",
}