Lung Pattern Classification for Interstitial Lung Diseases using ANN-Back Propagation Network

  • et al.
N/ACitations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Lung infections are the messes that influence the lungs, the organs that empower us to breathe in and it is the most notable illnesses worldwide especially in India. The sicknesses, for instance, pleural radiation and customary lung are distinguished and masterminded in this work. This paper presents a PC helped gathering Method in Computer Tomography (CT) Images of lungs made using ANN-BPN. The inspiration driving the work is to distinguish and arrange the lung illnesses by compelling component extraction through Dual-Tree Complex Wavelet Transform and GLCM Features. The entire lung is assigned from the CT Images and the parameters are resolved from the separated picture. The parameters are resolved using GLCM. We Propose and survey the ANN-Back Propagation Network planned for gathering of ILD structures.

Cite

CITATION STYLE

APA

S*, Dr. V., Kumar, A., … Hussain, Mr. J. (2019). Lung Pattern Classification for Interstitial Lung Diseases using ANN-Back Propagation Network. International Journal of Recent Technology and Engineering (IJRTE), 8(4), 3344–3349. https://doi.org/10.35940/ijrte.f2792.118419

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free