An Artificial Neural Network Approach for Detecting Skin Cancer
This study aims to present diagnose of melanoma skin cancer at an early stage. It applies feature extraction method of the first order for feature extraction based on texture in order to get high degree of accuracy with method of classification using artificial neural network (ANN). The method used is training and testing phases with classification of Multilayer Perceptron (MLP) neural network. The results showed that the accuracy of test image with 4 sets of training for image not suspected of melanoma and melanoma with the lowest accuracy of 80% and the highest accuracy of 88,88%,respectively. The 4 sets of training used consisted of 23 images. of the 23 images used as a training consisted of 6 as not suspected of melanoma images and 17 as suspected melanoma images
Morton D L, Wen D R, Wong J H, Economou J S, Cagle L A, Storm F K, Foshag L J and Cochran A J. 1992. Technical details of intraoperative lymphatic mapping for early stage melanoma. Archives of surgery. 1992; 127(4):392-399.
Seidenari S, Pellacani G and Giannetti A. Digital videomicroscopy and image analysis with automatic classification for detection of thin melanomas. Melanoma Research. 1999; 9(2):163-172.
Barrett H H and Swindell W. 1996. Radiological imaging: the theory of image formation, detection, and processing. Academic Press. 1996:2.
Ercal F, Chawla A, Stoecker W V, Lee H C and Moss R H. Neural network diagnosis of malignant melanoma from color images. IEEE Transactions on biomedical engineering. 1994; 41(9):pp.837-845.
Ganster H, Pinz P, Rohrer R, Wildling E, Binder M and Kittler H. 2001. Automated melanoma recognition. IEEE transactions on medical imaging. 2001;20(3):233-239.
H Sucianto. Analysis of image filtering using median. Gunadarma university library, 2007.
Golston J E, Moss R H and Stoecker W V. Boundary detection in skin tumor images: an overall approach and a radial search algorithm. Pattern Recognition. 1990;23(11):1235-1247.
Erçal F, Moganti M, Stoecker W V and Moss R H. Detection of skin tumor boundaries in color images. IEEE Transactions on Medical Imaging. 1993;12(3):624-626.
Xu L, Jackowski M, Goshtasby A, Roseman D, Bines S, Yu C, Dhawan A and Huntley A. Segmentation of skin cancer images. Image and Vision Computing. 1999;17(1):65-74.
Sumijan, Madenda S, Harlan J and Wibowo E P., Hybrids Otsu method, Feature region and Mathematical Morphology for Calculating Volume Hemorrhage Brain on CT-Scan Image and 3D Reconstruction. TELKOMNIKA. 2017;15(1):283-291.
Na`am J, Harlan J, Madenda S, Santony J, Suharianto C. Detection of proximal caries at the molar teeth using edge enhancement algorithm. International Journal of Electrical and Computer Engineering (IJECE), 2018; 8(5):3259-3266.
Na`am J, Harlan J, Nurcahyo G W, Arlis S, Sahari, Mardison and Rani L N. Detection of Infiltrate on Infant Chest X-Ray. TELKOMNIKA. 2017;17(4):1943-1951.
Amaliah B, Arieshanti I, Fatichah C, Dewi S N and Widyanto M R. Klasifikasi Voted Perceptron Untuk Identifikasi Melanoma. In Seminar Nasional Aplikasi Teknologi Informasi (SNATI). 2011.
Chiroma H, Abdulkareem S and Herawan T. Evolutionary Neural Network model for West Texas Intermediate crude oil price prediction. Applied Energy. 2015;142:266-
Nawi N M, Khan A, Rehman M Z, Chiroma H and Herawan T. Weight optimization in recurrent neural networks with hybrid metaheuristic Cuckoo search techniques for data classification. Mathematical Problems in Engineering, 2015.
Abubakar A I, Khan A, Nawi, N M, Rehman M Z, Wah T Y, Chiroma H and Herawan T. Studying the Effect of Training Levenberg Marquardt Neural Network by Using Hybrid Meta-Heuristic Algorithms. Journal of Computational and Theoretical Nanoscience, 2016;13(1):450-460.
Chiroma H, Abdul-kareem S, Ibrahim U, Ahmad I G, Garba A, Abubakar A, Hamza M F and Herawan T. Malaria severity classification through Jordan-Elman neural network based on features extracted from thick blood smear. Neural Network World. 2015; 25(5):565.
Husaini N A, Ghazali R, Nawi N M, Ismail L H, Deris M M and Herawan T.Pi-Sigma Neural Network For A One-Step-Ahead Temperature Forecasting. International Journal of Computational Intelligence and Applications. 2014;13(04):1450023.
Nawi N M, Rehman M Z, Aziz M A, Herawan T and Abawajy J H. Neural network training by hybrid accelerated cuckoo particle swarm optimization algorithm. In International Conference on Neural Information Processing. Springer International Publishing. 2014: 237-244
Nawi N M, Rehman M Z, Aziz M A, Herawan T and Abawajy J H. November. An Accelerated Particle Swarm Optimization Based Levenberg Marquardt Back Propagation Algorithm. In International Conference on Neural Information Processing. Springer International Publishing. 2014:245-253.
Chiroma H, Abdul-Kareem S, Muaz S A, Khan A, Sari E N and Herawan T. 2014, October. Neural Network Intelligent Learning Algorithm for Inter-related Energy Products Applications. In International Conference in Swarm Intelligence. Springer International Publishing. 2014:284-293.
Ghazali R, Husaini N A, Ismail L H, Herawan T and Hassim Y M M. 2014, July. The performance of a Recurrent HONN for temperature time series prediction. In 2014 International Joint Conference on Neural Networks (IJCNN). IEEE. 2014:518-524.
Husaini N A, Ghazali R, Ismail L H and Herawan T. A Jordan Pi-Sigma Neural Network for Temperature Forecasting in Batu Pahat Region. In Recent Advances on Soft Computing and Data Mining. Springer International Publishing. 2014: 11-24.
Nawi N M, Khan A, Rehman M Z, Herawan T and Deris M M. CSLMEN: A New Cuckoo Search Levenberg Marquardt Elman Network for Data Classification. In Recent Advances on Soft Computing and Data Mining. Springer International Publishing. 2014: 173-182.
Chiroma H, Abdulkareem S, Abubakar A I and Herawan T. Kernel functions for the support vector machine: comparing performances on crude oil price data. In Recent Advances on Soft Computing and Data Mining. Springer International Publishing. 2014: 273-281.
Lasisi A, Ghazali R and Herawan T. Comparative performance analysis of negative selection algorithm with immune and classification algorithms. In Recent Advances on Soft Computing and Data Mining. Springer International Publishing. 2014:441-452.
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