A Clinical Decision Support Tool to Detect Invasive Ductal Carcinoma in Histopathological Images Using Support Vector Machines, Naïve-Bayes, and K-Nearest Neighbor Classifiers.
Kyra Mikaela M. LopezMa. Sheila A. MagbooPublished in: MLIS (2020)
Keyphrases
- k nearest neighbor
- bayes classifiers
- bayes classifier
- tree augmented
- knn
- bayesian network classifiers
- bayesian classifiers
- histopathological images
- support vector machine
- naive bayes classifier
- feature selection
- cell nuclei
- nearest neighbor
- multi class
- text classification
- text categorization
- naive bayes
- automated detection
- decision trees
- k nearest neighbour
- knn classifier
- logistic regression
- image analysis
- bayesian classifier
- fold cross validation
- rule learner
- neural network
- nearest neighbour
- support vector machine svm
- nearest neighbor algorithm
- support vector
- risk factors
- knn algorithm
- feature vectors
- low contrast
- base classifiers
- quantitative analysis
- feature subset
- gray level
- learning algorithm
- machine learning
- binary classification tasks
- data sets