Automated Detection of Diabetic Foot Using Thermal Images by Neural Network Classifiers
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2017, Vol 4, Issue 5
Abstract
Diabetes is one of the major problems worldwide. It is a metabolic disease where the improper management of blood glucose level lead to the risk of many diseases like foot complications, amputation, kidney diseases etc. Early detection of diabetes and their precursors is essential in preventing their devastating consequences such as foot infection and amputation. There are various methods to diagnose diabetes which are invasive techniques. Infrared thermography is a promising modality for such a system from which diabetes is noninvasively detected using the thermal foot images. The temperature differences between corresponding areas on feet are the clinically significant parameters. The thermal images are preprocessed, segmented using kmeans clustering and then the textural features (GLCM) are extracted and then classified using classifiers. In this paper, to diagnose diabetic foot, three models like Probabilistic Neural Network(PNN), K-nearest Neighbor Network(KNN), and Support vector machine(SVM) are described and their performances are compared. Experimental results show that KNN has an accuracy of 95.66 %. This infers that KNN model outperforms the other two models
Authors and Affiliations
S. Purnima
Keywords
Related Articles
- EP ID EP245335
- DOI -
- Views 144
- Downloads 0
Emerging Risk evaluation of Enterohaemorrhagic Escherichia coli on Public Health
Enterohaemorrhagic Escherichia coli (EHEC) include serotypes E. coli O157: H7 and some other serogroups. Current epidemiological studies indicate that strains of enterohemorrhagic Escherichia coli (EHEC) belonging to ser...
Assuring Data Integrity in Cloud Using Regenerating Codes
The cloud computing is the emerging technology growing rapidly with its services. Cloud storage is one of the many services it is rendering. This cloud storage not only allows the clients to store their huge volume of pr...
Current Status of Pollution in Sagar Lake Using Geoinformatics
Water Pollution is the presence of harmful and objectionable material in water to make it unfit for use. In recent time, quantity of fresh water is reducing day by day and there has been increasing awareness and concern...
An Efficient Algorithm to Mine Non Redundant Top K Association Rules
Association rule mining is employed the foremost well-liked fiction within the field of analysis of knowledge mining. This paper presents a survey of some commonest techniques, that square measure often used for mining a...
As (v) Removal from Waste Water Using Class F Fly Ash as an Adsorbent
Arsenic occurs in both organic and inorganic forms in snatural waters but organic arsenic is of little importance as it goes through biotransformation and detoxifies through methylation. Inorganic arsenic occurs in -3, 0...