Evaluation of deep feedforward neural networks for classification of diffuse lung diseases

Isadora Cardoso, Eliana Almeida, HÉCTOR GABRIEL ALLENDE CID, Alejandro C. Frery, Rangaraj M. Rangayyan, Paulo M. Azevedo-Marques, Heitor S. Ramos

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Diffuse Lung Diseases (DLDs) are a challenge for physicians due their wide variety. Computer-Aided Diagnosis (CAD) are systems able to help physicians in their diagnoses combining information provided by experts with Machine Learning (ML) methods. Among ML techniques, Deep Learning has recently established itself as one of the preferred methods with state-of-the-art performance in several fields. In this paper, we analyze the discriminatory power of Deep Feedforward Neural Networks (DFNN) when applied to DLDs. We classify six radiographic patterns related with DLDs: pulmonary consolidation, emphysematous areas, septal thickening, honeycomb, ground-glass opacities, and normal lung tissues. We analyze DFNN and other ML methods to compare their performance. The obtained results show the high performance obtained by DFNN method, with an overall accuracy of 99.60%, about 10% higher than the other studied ML methods.

Idioma originalInglés
Título de la publicación alojadaProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 22nd Iberoamerican Congress, CIARP 2017, Proceedings
EditoresSergio Velastin, Marcelo Mendoza
EditorialSpringer Verlag
Páginas152-159
Número de páginas8
ISBN (versión impresa)9783319751924
DOI
EstadoPublicada - 2018
Publicado de forma externa
Evento22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017 - Valparaiso, Chile
Duración: 7 nov 201710 nov 2017

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10657 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017
PaísChile
CiudadValparaiso
Período7/11/1710/11/17

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