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  • mailto:[email protected]:[email protected]

  • (Youlden, 2014)

  • https://www.youtube.com/watch?v=Blg-VcrKGOshttps://www.youtube.com/watch?v=Blg-VcrKGOshttps://www.youtube.com/watch?v=Blg-VcrKGOshttps://www.youtube.com/watch?v=booLbrq6S_Ehttps://www.youtube.com/watch?v=booLbrq6S_Ehttps://www.youtube.com/watch?v=booLbrq6S_E

  • Eman, M. (2014). Design and development of Computer Vision Algorithm for a Real-time Breast Self-Examination. DLSU Masters thesis 2014.

    Heo, J., Chun, M., Lee, K. Y., Oh, Y. T., Noh, O. K., & Park, R. W. (2013). Effects of a smartphone application on breast self-examination: a feasibility study. Healthcare informatics research, 19(4), 250-260.

    Jose, A. (2015). Development of Depth Level Estimation Algorithm for Breast Self-Examination. DLSU Masters thesis 2015.

    International Agency for Research on Cancer (IARC/WHO) (2012). THE GLOBOCAN PROJECT, (http://globocan.iarc.fr, accessed 1 January 2016)

    International Telecommunications Union (2015). The world in 2015: ICT facts and figures. Geneva.(http://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2015.pdf , accessed 1 January 2016)

    Masilang, R. (2014). Design and development of a Computer-vision-based Breast Self-Examination Instruction and Supervision System. DLSU Masters thesis 2014.

    World Health Organization (http://www.who.int/cancer/detection/breastcancer/en/, accessed March 4, 2016)

    Youlden, D. R., Cramb, S. M., Yip, C. H., & Baade, P. D. (2014). Incidence and mortality of female breast cancer in the Asia-Pacific region. Cancer biology & medicine, 11(2), 101-115.

    http://www.who.int/cancer/detection/breastcancer/en/