Classification of breast tissues into mass and non-mass by means of the micro-genetic algorithm, phylogenetic trees, LBP and SVM-Reference-Cited by-同舟云学术

Classification of breast tissues into mass and non-mass by means of the micro-genetic algorithm, phylogenetic trees, LBP and SVM

Published:2017-03 Issue:3 Volume:6 Page:315-330
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

de Sampaio Wener Borges¹,de Oliveira Fernando Soares Sérvulo¹,de Carvalho Filho Antonio Oseas¹,Silva Aristófanes Corrêa¹,de Paiva Anselmo Cardoso¹,Gattass Marcelo²

Affiliation:

1. Applied Computing Group – NCA, Federal University of Maranhão UFMA, Campus do Bacanga, São Lus, Brazil.

2. Computer Science Department, Pontifical Catholic University of Rio de Janeiro – PUC-Rio, Rio de Janeiro, Brazil.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

FAPEMA

CAPES

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2016.1240630

Reference41 articles.

1. Face Description with Local Binary Patterns: Application to Face Recognition

2. Extreme Data Mining: Inference from Small Datasets

3. Breast Mass Classification using Statistical and Local Binary Pattern Features

4. LIBSVM

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