Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier.
Antoine PirovanoLeandro G. AlmeidaSaïd LadjalIsabelle BlochSylvain BerlemontPublished in: Medical Image Anal. (2021)
Keyphrases
- cervical cancer
- computer aided diagnosis
- weakly supervised
- medical images
- object detectors
- digital mammography
- computer aided
- breast cancer
- object detection
- medical imaging
- object class
- superpixels
- training data
- topic models
- image analysis
- semi supervised
- relation extraction
- object recognition
- feature space
- cad systems
- object categories
- named entities
- bounding box
- learning algorithm
- support vector
- three dimensional
- feature selection
- feature set
- decision trees
- object classes
- named entity recognition
- region of interest
- training examples
- d objects
- training set