Automatic classification of the acrosome status of boar spermatozoa using digital image processing and LVQ

  1. Alegre, E.
  2. Biehl, M.
  3. Petkov, N.
  4. Sánchez, L.
Journal:
Computers in Biology and Medicine

ISSN: 0010-4825

Year of publication: 2008

Volume: 38

Issue: 4

Pages: 461-468

Type: Article

DOI: 10.1016/J.COMPBIOMED.2008.01.005 GOOGLE SCHOLAR

Sustainable development goals

Data source: Scopus