Computational Methodology for Automatic Detection, Diagnosis, and Surgical Planning of Strabismus

  • João D. S. Almeida UFMA
  • Aristófanes C. Silva UFMA
  • Anselmo C. Paiva UFMA
  • Jorge A. M. Teixeira UFMA

Abstract


Strabismus is a pathology that affects about 4% of the population provoking aesthetic problems, reversible at any age, and irreversible sensorial alterations, modifying the vision mechanism. Attentive this problem and trying to find a way to surpass her is that propose the study in subject, that seeks to develop a methodology for detection and automatic diagnosis, and planning strabismus surgery. The method be still in initial phase, obtained sensibility results of 100%, specificity of 77% and rightness of 83% .

References

Canny, J. (1986). A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6):679–698.

Duda, R. and Hart, P. (1972). Use of the Hough transformation to detect lines and curves in pictures. Communications of the ACM, 15(1):11–15.

Eskridge, J., Wick, B., and Perrigin, D. (1988). The Hirschberg test: a double-masked clinical evaluation. American journal of optometry and physiological optics, 65(9):745.

Gonzalez, R. and Woods, R. (2000). Processamento de imagens digitais. Edgard Blucher.

Souza-Dias, C. and Almeida, H. (1993). Estrabismo. São Paulo: Roca.
Published
2009-07-20
ALMEIDA, João D. S.; SILVA, Aristófanes C.; PAIVA, Anselmo C.; TEIXEIRA, Jorge A. M.. Computational Methodology for Automatic Detection, Diagnosis, and Surgical Planning of Strabismus. In: BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTH (SBCAS), 9. , 2009, Bento Gonçalves/RS. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2009 . p. 2007-2010. ISSN 2763-8952.

Most read articles by the same author(s)

1 2 3 > >>