Nucleus Segmentation and Recognition of Uterine Cervical Pap-Smears.
Kwang-Baek KimDoo Heon SongYoung Woon WooPublished in: RSFDGrC (2007)
Keyphrases
- cervical cancer
- microscope images
- computer aided diagnosis
- image parsing
- numeral strings
- correct recognition
- image segmentation
- segmentation algorithm
- medical images
- recognition accuracy
- symbol recognition
- object recognition
- recognition rate
- confocal images
- microscopy images
- white blood cells
- region growing
- multiscale
- automatic recognition
- level set
- cell nucleus
- cell nuclei
- early detection
- feature extraction
- computer aided
- medical imaging
- object detection
- image analysis
- magnetic resonance images
- energy function
- object models
- sign language
- multiple objects
- object segmentation
- shape prior
- sign recognition
- pattern recognition