Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia.
Luis C. García-Peraza-HerreraMartin EversonWenqi LiInmanol LuengoLorenz BergerOmer F. AhmadLaurence B. LovatHsiu-Po WangWen-Lun WangRehan J. HaidryDanail StoyanovTom VercauterenSébastien OurselinPublished in: CoRR (2018)
Keyphrases
- real time
- classification systems
- classification scheme
- support vector
- machine learning methods
- detection algorithm
- object detection
- text localization and recognition
- robust detection
- false alarms
- classification models
- text classification
- supervised learning
- machine learning
- feature vectors
- pattern recognition
- decision trees
- support vector machine
- feature selection
- classification accuracy
- classification rules
- pattern classification
- automatic classification
- data sets
- low cost
- microcalcification clusters
- mammogram images
- digital mammograms
- decision rules
- benchmark datasets
- machine learning algorithms
- support vector machine svm
- model selection
- image classification