Computer aided medical diagnosis tool to detect normal/abnormal studies in digital MR brain images

Juan Gutierrez-Cáceres, Christian Portugal-Zambrano, César Beltrán-Castañón

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

This work presents a model to support medical diagnosis through the classification of abnormality normality in medical brain images, in order to help to specialist as a previous step in the brain pathology diagnosis. Our proposal was incorporated into a content-based image retrieval system, thus we developed a useful tool for radiologists. The first step produces the features vector of MR image using Gabor Filter for the data train and test, then as second step features vector of training data are indexed into CBIR module. The third step makes the training of SVM and as four step the test dataset is classified with the SVM trained. Finally, the result of classification are presented with a set of similar images product of a KNN query. This model was implemented as a software tool with graphical interface. We obtained 94.12% of correct classification. Our medical image dataset is composed of 187 MRI images collected from a medical diagnosis company and selected by medical specialist. The result shows that the proposed model is robust and effective as a software tool to aid support to medical diagnostic.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, CBMS 2014
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas501-502
Número de páginas2
ISBN (versión impresa)9781479944354
DOI
EstadoPublicada - 2014
Evento27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014 - New York, NY, Estados Unidos
Duración: 27 may. 201429 may. 2014

Serie de la publicación

NombreProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (versión impresa)1063-7125

Conferencia

Conferencia27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014
País/TerritorioEstados Unidos
CiudadNew York, NY
Período27/05/1429/05/14

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