Browse > Article
http://dx.doi.org/10.17703/IJACT.2019.7.2.227

Development of Retina Healthcare Service System Using Smart Phone  

Park, Gi Hun (Konyang University)
Han, Ju Hyuck (Konyang University)
Kim, Yong Suk (Konyang University)
Publication Information
International Journal of Advanced Culture Technology / v.7, no.2, 2019 , pp. 227-237 More about this Journal
Abstract
In this paper, we have developed a Retina Healthcare Service System through which the patient himself/herself can manage his/her retina health. In the case of conventional portable ophthalmic cameras, patients cannot check their eye health on their own because most of them are used by doctor in environments where ophthalmography cannot be performed properly. This system consists of web, app and camera modules, and when a patient mounts a camera module for fundus photography on his / her smart phone and then photographs his / her fundus through the app, the image is transmitted to a server, and the transmitted image reads the fundus the patient's fundus image status in the fundus image reading model learned using deep learning. When the doctor expresses his/her opinions about the patient 's eye condition based on the reading result and the fundus photograph, the patient can check through the app and judge whether to receive ophthalmologic treatment.
Keywords
Diabetic Retinopathy; Deep Learning; Healthcare; Fundus Camera;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 V. Gulsham, L. Peng, M. Coram, MC. Stumpe, D. Wu, A. Narayanaswamy, S. Venugopalan, K. Widner, T. Madams, J. Cuadros, R. Kim, R. Raman, PC. Nelson, JL. Mega, DR. Webster, "Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs." JAMA, Vol 316, pp. 2402-2410, December. 2016. doi:10.1001/jama.2016.17216.   DOI
2 C .Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens and Z. Wojna, "Rethinking the inception architecture for computer vision", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2818-2826, Dec. 2016.
3 MD. Abràmoff, JC. Folk, DP. Han, JD. Walker, DF. Williams, SR. Russell, P. Massin, B. Cochener, P. Gain, L. Tang, M. Lamard, DC. Moga, G. Quellec, M. Niemeijer, "Automated analysis of retinal images for detection of referable diabetic retinopathy", JAMA Ophthalmol. Vol 131, No.3, pp. 351-357, March. 2013. doi:10.1001/jamaophthalmol.2013.1743.   DOI
4 K. Nam, H. Jeon, "The training of convolution neural network for advanced driver assistant system", International Journal of Advanced Culture Technology (IJACT). Vol 4, No.4, pp. 23-29, Dec. 2016   DOI
5 JW. Kim, PK. Rhee. "Image Recognition based on Adaptive Deep Learning", The Journal of The Institute of Internet, Broadcasting and Communication (JIIBC), Vol. 18, No. 1, pp. 113-117, Feb. 2018, doi:10.7236/JIIBC.2018.18.1.113.   DOI
6 SH. Kim, KW. Lee and YH. Lee. "A study on implementation of standard protocol for communication of health signals in mobile environment ", The Journal of The Institute of Internet, Broadcasting and Communication (JIIBC). Vol. 16, No. 5, pp. 125-129, 2016, doi:10.7236/JIIBC.2016.16.5.125   DOI
7 T. Walter, J-C. Klein, P. Massin and A. Erginay, "A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in color fundus images of the human retina." IEEE transactions on medical imaging, Vol 21, No.10, pp. 1236-1243, Oct. 2002.   DOI
8 YD. Joo. "Implementation of Facility Maintenance Management System using Smart Phones", The Journal of The Institute of Internet, Broadcasting and Communication (JIIBC). Vol. 13, No. 1, pp. 191-197, 2013, doi:10.7236/JIIBC.2013.13.1.191   DOI
9 GS. Choi, JJ. Park, JJ. Kang, WJ. Kim. "A Study on Effective Information Transfer Technique between Personal Computer and Portable Equipment", The Journal of The Institute of Internet, Broadcasting and Communication (JIIBC). Vol. 13, No. 2, pp. 261-267, 2013, doi: 10.7236/JIIBC.2013.13.2.261   DOI
10 The trend of increase of 3 major ophthalmologic diseases. Healthcare Big Data Development System, http://opendata.hira.or.kr/op/opc/olapMfrnIntrsIlnsInfo.do