Sperm Cells Segmentation in Micrographic Images Through Lambertian Reflectance Model
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-23117-4_57
Reference14 articles.
1. Alegre, E., Biehl, M., Petkov, N., Sánchez, L.: Automatic classification of the acrosome status of boar spermatozoa using digital image processing and $$\{$$ LVQ $$\}$$ . Computers in Biology and Medicine 38(4), 461–468 (2008)
2. Bijar, A., Benavent, A.P., Mikaeili, M., Khayati, R.: Fully automatic identification and discrimination of sperm’s parts in microscopic images of stained human semen smear. Journal of Biomedical Science & Engineering (2012)
3. Carrillo, H., Villarreal, J., Sotaquira, M., Goelkel, M., Gutierrez, R.: A computer aided tool for the assessment of human sperm morphology. In: Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2007, pp. 1152–1157. IEEE (2007)
4. Chang, V., Saavedra, J.M., Castañeda, V., Sarabia, L., Hitschfeld, N., Härtel, S.: Gold-standard and improved framework for sperm head segmentation. Computer Methods and Programs in Biomedicine 117(2), 225–237 (2014)
5. Dai Qingyun, Y.Y.: The advanced of mathematieal morphology in image processing. Control Theory and Applications 18(04), 479–481 (2001)
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