Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers.
Atefeh ShahroudnejadRoberto VegaAmir ForouzandehSharanya BalachandranJacob L. JaremkoMichelle NogaAbhilash Rakkunedeth HareendranathanJeevesh KapurKumaradevan PunithakumarPublished in: EMBC (2021)
Keyphrases
- convolutional neural network
- lung nodules
- classification systems
- decision trees
- support vector
- classification method
- classification algorithm
- class labels
- classification models
- classification process
- classification rate
- training set
- supervised classification
- rule based classifier
- machine learning algorithms
- svm classifier
- decision boundary
- discriminative classifiers
- probabilistic classifiers
- feature selection
- classification accuracy
- support vector machine
- accurate classification
- classifier combination
- multiple classifiers
- face detection
- support vector machine svm
- image classification
- accurate classifiers
- binary classifiers
- training data
- computer aided detection
- k nearest neighbour
- ensemble classifier
- feature extraction
- feature vectors
- segmentation algorithm
- medical images
- feature set
- image analysis
- training samples
- multi category
- majority voting
- machine learning methods
- machine learning
- text classification
- image segmentation
- pulmonary nodules
- feature space
- supervised learning
- object detection
- multiclass classification
- multi class
- computer aided diagnosis
- level set