A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images.
William WasswaJ. Andrew WareAnnabella Habinka Basaza-EjiriJohnes ObungolochPublished in: Comput. Methods Programs Biomed. (2018)
Keyphrases
- cervical cancer
- image analysis
- computer aided diagnosis
- computer aided
- ground truth
- visual inspection
- pattern recognition
- image database
- image data
- mathematical morphology
- medical imaging
- medical images
- imaging technology
- image understanding
- remote sensing
- object recognition
- image processing
- computer assisted
- image enhancement
- multispectral
- input image
- image registration
- three dimensional
- image classification
- image segmentation
- test images
- computer vision
- image features
- image retrieval
- automated segmentation
- automated image analysis
- texture classification
- image regions
- feature points
- clinical applications
- multiscale
- pigmented skin lesions
- machine learning