Publications

@article{sanchez-gonzalez_statistical_2005,

title = {Statistical approach to boar semen head classification based on intracellular intensity distribution},

author = {Lidia Sánchez-González and Nicolai Petkov and Enrique Alegre},

url = {https://link.springer.com/chapter/10.1007/11556121_12},

year  = {2005},

date = {2005-01-01},

journal = {International Conference on Computer Analysis of Images and Patterns},

pages = {88–95},

abstract = {This technique estimates the fraction of boar sperm heads exhibiting a normal intracellular density pattern, as defined by veterinary experts. It offers a potential alternative to costly staining methods for sperm capacitation. The method involves training a model using images classified as normal, similar to normal, and abnormal. The deviation of each sperm head from the model is used to calculate a conditional probability, allowing for accurate estimation of normal sperm fractions, with an error below 0.25 in 89% of the test samples.},

note = {Publisher: Springer Berlin Heidelberg Berlin, Heidelberg},

keywords = {Digital Estimation, image processing, Sperm Capacitation, sperm classification, Veterinary Analysis},

pubstate = {published},

tppubtype = {article}

}