A fully automated hybrid human sperm detection and classification system based on mobile-net and the performance comparison with conventional methods.
Hamza Osman IlhanIbrahim Onur SigirciGorkem SerbesNizamettin AydinPublished in: Medical Biol. Eng. Comput. (2020)
Keyphrases
- fully automated
- fully automatic
- classification method
- classification systems
- semi automated
- machine learning methods
- cross validation
- benchmark datasets
- preprocessing
- classification accuracy
- classification algorithm
- completely automated
- digital mammograms
- gold standard
- automatic detection
- classification rules
- detection algorithm
- object detection
- ground truth
- feature vectors