Texture Analysis of Thyroid Ultrasound Images for Diagnosis of Benign and Malignant Nodule using Scaled Conjugate Gradient Backpropagation Training Neural Network
Journal Title: International Journal of Computational Engineering and Management IJCEM - Year 2013, Vol 16, Issue 6
Abstract
A thyroid is largest endocrine gland, a butterfly shape with two lobes which produces hormones that control body metabolism. The nodules are found in thyroid may be benign or malignant. The ultrasound (US) preferred over the other medical imaging modalities which is used to observe the subcutaneous body structures & internal organs for possible pathology or lesions. The physicians are deducing useful information concerning the tissue characterization and structure which is still subjective matter, Thus quantitative analysis of US images give the objective method for thyroid nodule diagnosis. In this paper, gray level co-occurrence matrix (GLCM) texture characterization techniques are used for feature extraction & extracted features are classified using scaled conjugate gradient backpropagation training neural network (SCGBNN) for diagnosis of thyroid nodule are described. The experimental results show the performance measure of SCG backpropagation training neural network in terms classification accuracy.
Authors and Affiliations
Shrikant D. Kale, Krushil M. Punwatkar
Keywords
Related Articles
- EP ID EP99001
- DOI -
- Views 98
- Downloads 0
Reducing Duplicate Defects
Testers or users submit bug reports to identify various issues with applications. Sometimes two or more bug reports correspond to the same defect. To address this issue on duplicate defects we came up with multiple appro...
The Intellectual Capital Engine for Organizational Governance and Sustainability: A Theoretical Inquiry and Path Analysis
Purpose : The purpose of this paper is to review the international literature in the historical and current context of intellectual capital (IC) to leverage it from a third-dimension. This is approached through a big...
Implementation of an Efficient Matrix based Algorithm for Clustering in Web Usage Mining
Usage patterns discovered through Web usage mining are effective in capturing item-to-item and user-to-user relationships and similarities at the level of user sessions. However, without the benefit of deeper domain know...
A Multidimensional Corporate Social Responsibility Study
This paper intends to contribute to a better understanding of the corporate social responsibility (CSR) in Portuguese Small and Medium Enterprises (SME) . In the Portuguese context, where SME represent the majority of co...
Enhanced Compression Code for SOC Test Data Volume Reduction
Test data reduction is an important issue for the system-on-a-chip designs. A number of coding techniques have been developed in the past to compress the test data to achieve the best compression. In this paper we have m...