Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification.
Riel Castro-ZuntiKum Ju ChaeYounhee ChoiGong Yong JinSeok-Bum KoPublished in: Comput. Medical Imaging Graph. (2021)
Keyphrases
- classification accuracy
- trade off
- convolutional neural networks
- image classification
- accuracy rate
- preprocessing
- processing speed
- predictive accuracy
- computational cost
- feature extraction
- prediction accuracy
- high speed
- correct classification
- classification rate
- high accuracy
- automatic classification
- support vector machine svm
- support vector
- decision trees
- machine learning
- roc analysis
- generalization ability
- class labels
- feature selection
- classification scheme
- real time
- training speed
- feature space
- individual classifiers
- fold cross validation
- supervised learning
- x ray images
- classification models
- pattern classification
- classification algorithm
- x ray
- machine learning algorithms
- knn
- feature vectors
- naive bayes
- error rate
- svm classifier