Cervical Cancer Detection and Classification from Pap Smear Images.
Kyi Pyar WinYuttana KitjaidureMay Phyu PaingKazuhiko HamamotoPublished in: ICBSP (2019)
Keyphrases
- cervical cancer
- image classification
- image database
- input image
- three dimensional
- image data
- image features
- pattern recognition
- image analysis
- test images
- detection rate
- mammogram images
- text localization and recognition
- text classification
- complex background
- image registration
- image retrieval
- classification accuracy
- feature vectors
- object recognition
- extracted features
- pigmented skin lesions
- microscope images
- hyperspectral images
- bounding box
- partial occlusion
- support vector machine svm
- false positives
- decision trees
- feature extraction
- support vector machine
- machine learning
- region of interest
- segmentation algorithm
- computer aided diagnosis
- feature set
- object detection
- traffic signs
- multiple classifiers
- detection method
- high resolution
- feature space
- decision level fusion
- image set