Multiclass Brain Tumor Classification Using Hyperspectral Imaging and Supervised Machine Learning.
Luisa RuizAlberto MartínGemma UrbanosMarta VillanuevaJaime SanchoGonzalo RosaManuel VillaMiguel ChavarríasÁngel PérezEduardo JuárezAlfonso LagaresCésar SanzPublished in: DCIS (2020)
Keyphrases
- supervised machine learning
- multi class
- multiclass classification
- hyperspectral imaging
- multiclass support vector machines
- support vector machine
- brain tumors
- binary classifiers
- multiple classes
- cost sensitive
- binary classification
- supervised learning
- multiclass problems
- manually annotated
- pairwise
- error correcting output codes
- machine learning
- target detection
- active learning
- image classification
- support vector machine svm
- feature selection
- relation extraction
- support vector
- pattern recognition
- data sets
- image processing
- feature extraction
- hyperspectral data
- feature space
- feature vectors
- classification accuracy
- hyperspectral images
- feature set
- hyperspectral