Author/Authors :
BOUKHOBZA, M. Université Abdelhamid Ibn Badis de Mostaganem - Faculté des Sciences et de la Technologie - Département électronique, Laboratoire Signaux et Applications, Algérie , MIMI, M. Université Abdelhamid Ibn Badis de Mostaganem - Faculté des Sciences et de la Technologie - Département électronique, Laboratoire Signaux et Applications, Algérie
Title Of Article :
DETECTION AUTOMATIQUE DE LA PRESENCE D’ANOMALIE SUR UNE MAMMOGRAPHIE PAR RESEAU DE NEURONES ARTIFICIELS
Abstract :
The breast cancer continues to be classified in the forefront of the public health problems. Proliferations of this disease push the researchers to develop techniques of assistance of diagnosis. The medical imagery constitutes an important technique for assured a better quality the clinical diagnosis. Remain the problem of the quality of the interpretation of the medical image.The tracing routines organized of the breast cancer led to an increase amongst medical image interpreted and the needs for quality as regards public health make compulsory the recourse to the Assistance Systems Diagnosis (ASD) by computer. In this article we propose a system containing network of artificial neurons able to detect the presence or not anomaly on a mammography.
NaturalLanguageKeyword :
Mammography , Detection , artificial Network of neurons , Assistance Systems Diagnosis
JournalTitle :
Courrier Du Savoir
