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Journal of Engineering and Applied Sciences
Year: 2018 | Volume: 13 | Issue: 11 | Page No.: 4020-4024
DOI: 10.36478/jeasci.2018.4020.4024  
Recognition Textures of the Tumors of the Medical Pictures by Neural Networks
Youssef Douzi , Nabil Kannouf , Tarik Hajji , Touria Boukhana , Mohamed Benabdellah and Abdelmalek Azizi
 
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:
Youssef Douzi, Nabil Kannouf, Tarik Hajji, Touria Boukhana, Mohamed Benabdellah and Abdelmalek Azizi, 2018. Recognition Textures of the Tumors of the Medical Pictures by Neural Networks. Journal of Engineering and Applied Sciences, 13: 4020-4024.
DOI: 10.36478/jeasci.2018.4020.4024
URL: http://medwelljournals.com/abstract/?doi=jeasci.2018.4020.4024