The week's pick
Random Articles
Reseach Article
Iris Nevus Disease Diagnosis using Convolutional Neural Network based on SURF (Speeded up Robust Feature) Detection
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 35 |
| Year of Publication: 2020 |
| Authors: O.O Obe, Olotuah Adedolapo Fisayo |
10.5120/ijca2020920903
|
O.O Obe, Olotuah Adedolapo Fisayo . Iris Nevus Disease Diagnosis using Convolutional Neural Network based on SURF (Speeded up Robust Feature) Detection. International Journal of Computer Applications. 175, 35 ( Dec 2020), 10-14. DOI=10.5120/ijca2020920903
Abstract
This work presents the diagnosis of iris nevus (Cogan Reese) using a convolutional neural network (CNN) for its classification and Speeded Up robust feature (SURF) detection for its feature extraction. Iris nevus is a tumor found in the eye. Racial and environmental factors affect the color of the iris of a patient; hence, tumor may be seen in the eye background. In this work, the iris images will be tested and trained and will also describe the automatic diagnosis of iris nevus using neural network-based systems for its classification as nevus affected and unaffected iris. The model attained its best performance during training and testing with an accuracy of 97.50% and 80% respectively, a precision of 77% and a recall of 67%.
References
- Kathleen. S, 2018: Development of coronary heart diagnosis system using Deep Neural Network.
- Lovelace, A. (1842). Notes upon L. F. Menabrea’s “ Sketch of the Analytical Engine invented by Charles Babbage
- Oyedotun O K, Olaniyi E O, Helwan A, Khashman A. Decision support models for iris nevus diagnosis considering potential malignancy. International Journal of Scientist
- Oyedotun O K, Olaniyi E O, Khashman, 2015. A Deep learning in character recognition considering pattern invariance constraints. International Journal of Intelligent Systems and Applications; 1-10.
- Ovid and Martin, C. (2004). Metamorphoses.
- Sparkes, B. (1996). The Red and the Black: Studies in Greek Pottery. Routledge.
- Tandy, D. W. (1997). Works and Days: A Translation and Commentary for the Social Sciences . University of California Press.
- Wikipedia, “Feature detection — Wikipedia, the free encyclopedia,” 2011, [Online; accessed 14-July-2010]. [Online]. Available: https://secure.wikimedia.org/wikipedia/ en/wiki/Feature detection %28computer vision%29
Index Terms
Keywords