Glomerulus Classification and Detection Based on Convolutional Neural Networks.
Jaime GallegoAníbal PedrazaSamuel LopezGeorg SteinerLucia GonzalezArvydas LaurinaviciusGloria BuenoPublished in: J. Imaging (2018)
Keyphrases
- convolutional neural networks
- pattern recognition
- classification scheme
- decision trees
- classification accuracy
- machine learning
- spam detection
- feature selection
- microcalcification clusters
- robust detection
- feature extraction and classification
- classification systems
- detection accuracy
- automatic classification
- text classification
- feature extraction
- support vector machine
- object detection
- image classification
- automatic detection
- support vector
- digital mammograms
- feature space
- training set
- feature vectors
- detection rate
- machine learning methods
- decision rules
- benchmark datasets
- detection method
- detection algorithm
- training samples
- anomaly detection
- model selection
- svm classifier
- classification models
- machine learning algorithms
- face detection
- multiresolution
- moving objects
- support vector machine classifier
- neyman pearson
- unsupervised learning