빅데이터 기반 녹내장 진단을 위한 시신경유두 추출에 대한 연구

  • Published : 2021.06.30

Abstract

Keywords

References

  1. 옴니어스. 2018. 뇌의 시각 처리와 딥 러닝. https://brunch.co.kr/@omniousofficial/2
  2. 이병문. 2021. 실명 막을 수 있는 안저검사, 10명중 2명만 알아. https://www.mk.co.kr/news/it/view/2021/01/32797/
  3. 박선재. 2018. 실명질환 조기진단 위해서는 안저검사 "필수". https://www.monews.co.kr/news/articleView.html?idxno=119558
  4. Weinreb, R. N., Aung, T., & Medeiros, F. A. (2014). The pathophysiology and treatment of glaucoma: a review. Jama, 311(18), 1901-1911. https://doi.org/10.1001/jama.2014.3192
  5. 전혜신, Jeon HS. 녹내장과 비녹내장성 시신경병증의 감별진단. J Korean Glaucoma Soc. 2020 Dec;9(2):64-65. https://doi.org/10.36299/jkgs.2020.9.2.64
  6. 한국과학기술정보연구원. 2017. 빅데이터가 없는 AI는 무용지물. https://scienceon.kisti.re.kr/srch/selectPORSrchTrend.do?cn=GTB2017002345
  7. Taleb, M. A. Serhani and R. Dssouli, "Big Data Quality: A Survey," 2018 IEEE International Congress on Big Data (BigData Congress), 2018, pp. 166-173, doi: 10.1109/BigDataCongress.2018.00029.
  8. 권혁주. 2020. 과기정통부, "AI 데이터 품질 표준안" 발표... 국내외 표준화 추진. https://www.mediasr.co.kr/news/articleView.html?idxno=62742
  9. Ha, A., Kim, T.J., Lee, W.J. et al. Quantitative analysis of retinal nerve fiber layer defect in early open-angle glaucoma with normal intraocular pressure. Jpn J Ophthalmol 64, 278-284 (2020). https://doi.org/10.1007/s10384-019-00704-4
  10. Budai, A., Bock, R., Maier, A., Hornegger, J., & Michelson, G. (2013). Robust vessel segmentation in fundus images. International journal of biomedical imaging, 2013.
  11. Timothy J. Bennett. Monochromatic Fundus Photography. https://www.opsweb.org/page/Monochromatic.
  12. Bracewell, R. N., & Bracewell, R. N. (1986). The Fourier transform and its applications (Vol. 31999, pp. 267-272). New York: McGraw-Hill.
  13. Frangi, A. F., Niessen, W. J., Vincken, K. L., & Viergever, M. A. (1998, October). Multiscale vessel enhancement filtering. In International conference on medical image computing and computer-assisted intervention (pp. 130-137). Springer, Berlin, Heidelberg.
  14. Soares, I., Castelo-Branco, M., & Pinheiro, A. M. (2015). Optic disc localization in retinal images based on cumulative sum fields. IEEE journal of biomedical and health informatics, 20(2), 574-585. https://doi.org/10.1109/JBHI.2015.2392712
  15. Ludwig, J. (2013). Image convolution. Portland State University.
  16. Structured Analysis of the Retina, http://www.ces.clemson.edu/ahoover/stare/, accessed on May 21, 2021.