Detection of Skin Cancer Melanoma Using Expert System Forward Chaining Method And Image Processing Of K-nearest Neighbor (knn) Method Based on Android
Abstract
Melanoma is the most dangerous and deadly type of skin cancer. Melanoma can be cured if detected early, but the form of melanoma that resembles a mole makes it difficult to distinguish. Early treatment performed by a dermatologist on melanoma through a biopsy process. However, a lack of biopsy is a long preparation and laboratory results that take a little longer. This fear will make cancer cells spread more widely. With this problem, this final project will design an Android-based mobile application that can detect melanoma early. Applications designed using expert systems are forward chaining methods and image processing methods K-Nearest Neighbor (KNN). From the results of image processing testing that has been done this application has an accuracy of 72% by using training data totaling 70 images. While the expert system with the forward chaining method is suitable to be used in this application because the decisions taken are in accordance with the knowledge representation that has been entered into the system.Downloads
References
Daniel Ruiz, Vicente Berenguer, Antonio Soriano Belén Sánchez. 2011. A decision support system for the diagnosis of melanoma: A comparative approach. Journal of Expert Systems with Applications.
Ilias Maglogiannis Dimitrios I. Kosmopoulos. 2006. Computational Vision Systems for the Detection of Malignant Melanoma. International Journal of Oncology.
Harald Ganster, Axel Pinz, Reinhard Röhrer, Ernst Wildling, Michael Binder, dan Harald Kittler. 2001. Automated melanoma recognition. IEEE Transactions On Medical Imaging.
Ida Ayu Dian Purnama Sari, Dr. Ir. Bambang Hidayat, DEA. , Unang Sunarya, S.T., M.T. 2015. Bali Script Recognition With Local Binary Pattern Method. e-Proceeding of Engineering: Vol.2 (ISSN)
Paramaresthi Windriyani, S.Kom, Wiharto, ST, M.Kom, Sari Widya Sihwi, S.Kom, MTI. 2013. Expert System for Detecting Mental Disorder with Forward Chaining Method. ICT for Smart Society (ICISS).
Dony Novaliendry, Cheng-Hong Yang, dan Denno Guara Labukti A.Y. 2015. The Expert System Application For Diagnosing Human Vitamin Deficiency Through Forward Chaining Method. Information and Communication Technology Convergence (ICTC).
D.B.L. Bong, R.N. Tingang, and A. Joseph. 2010. Palm Print Verification System. Proceedings of the World Congress on Engineering 2010 Vol I.
Karim Faez, Sara Motamed, Mahboubeh Yaqubi. 2008. Personal Verification using Ear and Palm-print Biometrics., IEEE International Conference on Systems, Man and Cybernetics.
Dr. R. J. Ramteke1, Khachane Monali Y. 2012. Automatic Medical Image Classification and Abnormality Detection Using K-Nearest Neighbour. International Journal of Advanced Computer Research (ISSN).
Luiz Antˆonio Pereira Neves, Dionei Jos´e M¨uller, Fellipe Alexandre, Pedro Machado Guillen Trevisani, Pedro Santos Brandi and Rafael Junqueira. 2014. Hand Recognition using Texture Histograms A Proposed Technique for Image Acquisition and Recognition of the Human Palm. Computer Vision Theory and Applications (VISAPP).
Anthony J. Mancini, Daniel P. Krowchuk. 2016. Pediatric Dermatology 1st, 2nd, 3rd and 4th Edition A Quick Reference Guide. America Academy of Pediatrics. America.
