A novel approach for Hepatocellular Carcinoma detection and classification based on triphasic CT Protocol.
Vitoantonio BevilacquaAntonio BrunettiGianpaolo Francesco TrottaGiovanni DimauroKatarina ElezVito AlberotanzaArnaldo ScardapanePublished in: CEC (2017)
Keyphrases
- classification accuracy
- machine learning
- support vector
- false alarms
- false positives
- support vector machine svm
- pattern recognition
- robust detection
- feature selection
- text classification
- feature set
- feature extraction
- digital mammograms
- lung nodules
- fold cross validation
- image processing
- classification algorithm
- ct images
- detection rate
- automatic detection
- automatic classification
- false negative
- neyman pearson
- classification scheme
- detection method
- detection algorithm
- support vector machine
- feature space
- decision trees