Classification of Cancer of The Lungs Using SVM and ANN
Journal: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY (Vol.15, No. 1)Publication Date: 2016-01-15
Authors : Olusayo Fenwa; Funmilola A. Ajala; Adebisi A. Adigun;
Page : 6418-6426
Keywords : Pulmonary Fibrosis; Obstructive Pulmonary Disease; Support Vector Machine; ANN; Lung Cancer;
Abstract
Accurate diagnosis of cancer plays an important role in order to save human life. The results of the diagnosis indicate by the medical experts are mostly differentiated based on the experience of different medical experts. This problem could risk the life of the cancer patients. A fast and effective method to detect the lung nodules and separate the cancer images from other lung diseases like tuberculosis is becoming increasingly needed due to the fact that the incidence of lung cancer has risen dramatically in recent years and an early detection can save thousands of lives each year. The focus of this paper is to compare the performance of the ANN and SVM classifiers on acquired online cancer datasets. The performance of both classifiers is evaluated using different measuring parameters namely; accuracy, sensitivity, specificity, true positive, true negative, false positive and false negative.
Other Latest Articles
- Factors Affecting mobile Learning Readiness Among Students and Lecturers: A Model for Mobile Learning Readiness in Kenyan Universities
- Robust Estimators in Fuzzy Logic Cellular-Automata Salt and Pepper Noise Filtering
- Loop Structures Optimization and Reordering for Efficient Parallel Processing
- Web Personalization With Web Usage Mining Technics and Association Rules
- Voltage Flicker Parameters Estimation UsingShuffled Frog Leaping Algorithm (SFLA) andImperialistic Competitive Algorithm (ICA)
Last modified: 2016-06-29 15:50:12