Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

    1. Scotto, Joseph, Jr JF Fraumeni, and J. A. Lee. "Melanomas of the eye and other noncutaneous sites: epidemiologic aspects." Journal of the National Cancer Institute 56, no. 3 (1976):489- 491.
    2. Muller, Karin, Peter JCM Nowak, Grégorius PM Luyten, Johannes P. Marijnissen, Connie de Pan, and Peter Levendag. "A modified relocatable stereotactic frame for irradiation of eye melanoma: design and evaluation of treatment accuracy." International Journal of Radiation Oncology* Biology* Physics 58, no. 1 (2004):284-291. 
    3.  Konar, Amit. Computational intelligence: principles, technique sand applications. Springer Science & Business Media, 2006.
    4. Naresh, Prashant, and DrRajashreeShettar. "Early detection of lung cancer using neural network techniques." Int Journal of Engineering 4 (2014):78-83
    5. Saini, Satish, and Ritu Vijay. "Performance analysis of artificial neural network based breast cancer detection system." International Journal of Soft Computing and Engineering 4, no. 4(2014).
    6. Ubaidillah, SharifahHafizahSy Ahmad, RoselinaSallehuddin,and Noorfa Haszlinna Mustaffa. "Classification of liver cancer using artificial neural network and support vector machine." In Proceedings of International Conference on Advance in Communication Network, and Computing, pp. 1-6. 2014.
    7. Ahmed,IsraO.,BanazierA.Ibraheem,andZeinabA. Mustafa."Detection of Eye Melanoma Using Artificial Neural Network." Journal of Clinical Engineering 43, no. 1 (2018):22-28.
    8. Wei, Yunchao, Wei Xia, Min Lin, JunshiHuang, Bingbing Ni, Jian Dong, Yao Zhao, and Shuicheng Yan. "Hcp: A flexible cnn framework for multi-label image classification." IEEE transactions on pattern analysis and machine intelligence 38, no. 9 (2016):1901-1907
    9. Schmidhuber, Jürgen. "Deep learning in neural networks: An overview." Neural networks 61 (2015):85-117.
    10. New York Eye Cancer Center: https://eyecancer.com/eye- cancer/imagegalleries/image-galleries
    11. Acharya, U. Rajendra, Hamido Fujita, ShuLih Oh, Yuki Hagiwara, Jen Hong Tan, Muhammad Adam, and Ru San Tan. "Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals." Applied Intelligence (2018):1-12.
    12.  Li, Yuexiang, and LinlinShen. "Skin lesion analysis towards melanoma detection using deep learning network." Sensors18, no. 2 (2018):556

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