Estimation of Boar Sperm Status Using Intracellular Density Distribution in Grey Level Images

Author:

Sánchez Lidia,Petkov Nicolai

Publisher

Springer Berlin Heidelberg

Reference22 articles.

1. Alegre, E., Fernández, R.A., Sánchez, L., Rodríguez, V., González, R., Tejerina, F., Domínguez, J.C.: Digital image segmentation methods for automatic quality evaluation of boar semen. Reproduction in Domestic Animals 40, 392 (2005)

2. Biehl, M., Pasma, P., Pijl, M., Sánchez, L., Petkov, N.: Classification of boar sperm head images using Learning Vector Quantization. In: European Symposium on Artificial Neural Networks (ESANN), pp. 545–550. D-side, Evere (2006)

3. García-Herreros, M., Aparicio, I.M., Barón, F.J., García-Marín, L.J., Gil, M.C.: Standardization of sample preparation, staining and sampling methods for automated sperm head morphometry analysis of boar spermatozoa. International Journal of Andrology 29, 553–563 (2006)

4. Garrett, C., Gordon Baker, H.W.: A new fully automated system for the morphometric analysis of human sperm heads. Fertility and Sterility 63(6), 1306–1317 (1995)

5. Hirai, M., Boersma, A., Hoeflich, A., Wolf, E., Föll, J., Aumüller, T.R., Braun, J.: Objectively measured sperm motility and sperm head morphometry in boars (Sus scrofa): relation to fertility and seminal plasma growth factors. Journal of Andrology 22, 104–110 (2001)

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1. An Improved U-Net for Human Sperm Head Segmentation;Neural Processing Letters;2021-09-22

2. Automatic classification of human sperm head morphology;Computers in Biology and Medicine;2017-05

3. Gold-standard and improved framework for sperm head segmentation;Computer Methods and Programs in Biomedicine;2014-11

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