Dairy Cattle Sub-clinical Uterine Disease Diagnosis Using Pattern Recognition and Image Processing Techniques

Matías Tailanián, Federico Lecumberry, Alicia Fernández, Giovanni Gnemmi, Ana Meikle, Isabel Pereira, Gregory Randall. Dairy Cattle Sub-clinical Uterine Disease Diagnosis Using Pattern Recognition and Image Processing Techniques. In Eduardo Bayro-Corrochano, Edwin R. Hancock, editors, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, November 2-5, 2014. Proceedings. Volume 8827 of Lecture Notes in Computer Science, pages 690-697, Springer, 2014. [doi]

@inproceedings{TailanianLFGMPR14,
  title = {Dairy Cattle Sub-clinical Uterine Disease Diagnosis Using Pattern Recognition and Image Processing Techniques},
  author = {Matías Tailanián and Federico Lecumberry and Alicia Fernández and Giovanni Gnemmi and Ana Meikle and Isabel Pereira and Gregory Randall},
  year = {2014},
  doi = {10.1007/978-3-319-12568-8_84},
  url = {http://dx.doi.org/10.1007/978-3-319-12568-8_84},
  researchr = {https://researchr.org/publication/TailanianLFGMPR14},
  cites = {0},
  citedby = {0},
  pages = {690-697},
  booktitle = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, November 2-5, 2014. Proceedings},
  editor = {Eduardo Bayro-Corrochano and Edwin R. Hancock},
  volume = {8827},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-12567-1},
}