Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
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Abstract
Texture plays a very important role in identifying and extracting the thematic information contained in the image. Texture analysis is a vast field whose objective is to identify the nature of a texture, either via. classification algorithms or via. synthetic algorithms aimed at the creation of a texture, visually similar to the original texture. As specialists are looking for radio-tracers to use in order to do a more advanced study on diseases that infect the skin and organs in general, we have come back to thinking about using ultrasound as ultrasound may well replace radiography in some cases like breast cancer screening. Our goal is to introduce methods to classify different diseases which infect the skin and organs leaving traces by adaptive texture analysis of ultrasound images, i.e., to make a recognition of different types of tumors on medical images and to describe a new approach to automatic texture recognition in digital images using Artificial Neural Networks (ANN).
How to cite this article:
Abdelmalek Azizi, Mohamed Benabdellah, Touria Boukhana, Tarik Hajji, Youssef Douzi and Nabil Kannouf. Recognition Textures of the Tumors of the Medical Pictures by Neural Networks.
DOI: https://doi.org/10.36478/jeasci.2018.4020.4024
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.4020.4024