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Authors: I. Amaya-Rodriguez ; L. Duran-Lopez ; F. Luna-Perejon ; J. P. Civit-Masot ; J. P. Dominguez-Morales ; S. Vicente ; A. Civit ; D. Cascado and A. Linares-Barranco

Affiliation: Robotics and Technology of Computers Lab., University of Seville, Seville and Spain

Keyword(s): Deep-Learning, Convolutional Neural Networks (CNN), LeNet, GoogleNet, Fuzzy C-Means (FCM), Glioma, Diagnosis Aids, Magnetic Resonance Imaging (MRI).

Abstract: Glioma is a type of brain tumor that causes mortality in many cases. Early diagnosis is an important factor. Typically, it is detected through MRI and then either a treatment is applied, or it is removed through surgery. Deep-learning techniques are becoming popular in medical applications and image-based diagnosis. Convolutional Neural Networks are the preferred architecture for object detection and classification in images. In this paper, we present a study to evaluate the efficiency of using CNNs for diagnosis aids in glioma detection and the improvement of the method when using a clustering method (Fuzzy C-means) for pre-processing the input MRI dataset. Results offered an accuracy improvement from 0.77 to 0.81 when using Fuzzy C-Means.

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Paper citation in several formats:
Amaya-Rodriguez, I.; Duran-Lopez, L.; Luna-Perejon, F.; Civit-Masot, J.; Dominguez-Morales, J.; Vicente, S.; Civit, A.; Cascado, D. and Linares-Barranco, A. (2019). Glioma Diagnosis Aid through CNNs and Fuzzy-C Means for MRI. In Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - NCTA; ISBN 978-989-758-384-1; ISSN 2184-3236, SciTePress, pages 528-535. DOI: 10.5220/0008494005280535

@conference{ncta19,
author={I. Amaya{-}Rodriguez. and L. Duran{-}Lopez. and F. Luna{-}Perejon. and J. P. Civit{-}Masot. and J. P. Dominguez{-}Morales. and S. Vicente. and A. Civit. and D. Cascado. and A. Linares{-}Barranco.},
title={Glioma Diagnosis Aid through CNNs and Fuzzy-C Means for MRI},
booktitle={Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - NCTA},
year={2019},
pages={528-535},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008494005280535},
isbn={978-989-758-384-1},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - NCTA
TI - Glioma Diagnosis Aid through CNNs and Fuzzy-C Means for MRI
SN - 978-989-758-384-1
IS - 2184-3236
AU - Amaya-Rodriguez, I.
AU - Duran-Lopez, L.
AU - Luna-Perejon, F.
AU - Civit-Masot, J.
AU - Dominguez-Morales, J.
AU - Vicente, S.
AU - Civit, A.
AU - Cascado, D.
AU - Linares-Barranco, A.
PY - 2019
SP - 528
EP - 535
DO - 10.5220/0008494005280535
PB - SciTePress

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