Diabetic Retinopathy Image Quality Assessment, Detection, Screening and Referral

  • Ramon Pires UNICAMP
  • Anderson Rocha UNICAMP

Referências

Jelinek, H. F., Pires, R., Padilha, R., Goldenstein, S., Wainer, J., and Rocha, A. (2012). Data fusion for multi-lesion diabetic retinopathy detection. In IEEE Intl. Computer- Based Medical Systems, pages 1–4.

Jelinek, H. F., Pires, R., Padilha, R., Goldenstein, S., Wainer, J., and Rocha, A. (2013). Quality control and multi-lesion detection in automated retinopathy classification using a visual words dictionary. In Intl. Conference of the IEEE Engineering in Medicine and Biology Society.

Pires, R., Jelinek, H., Wainer, J., Valle, E., and Anderson, R. Advancing bag-of-visualwords representations for lesion classification in retinal images. PLoS ONE, (In Press).

Pires, R., Jelinek, H. F., Wainer, J., Goldenstein, S., Valle, E., and Rocha, A. (2013). Assessing the need for referral in automatic diabetic retinopathy detection. IEEE Transactions on Biomedical Engineering, 60(12):3391–3398.

Pires, R., Jelinek, H. F., Wainer, J., and Rocha, A. (2012). Retinal image quality analysis for automatic diabetic retinopathy detection. In Intl. Conference on Graphics, Patterns and Images, pages 229–236.
Publicado
28/07/2014
PIRES, Ramon; ROCHA, Anderson. Diabetic Retinopathy Image Quality Assessment, Detection, Screening and Referral. In: CONCURSO DE TESES E DISSERTAÇÕES (CTD), 27. , 2014, Brasília. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2014 . p. 61-66. ISSN 2763-8820.