An automatic method for identification of cystine crystals in urine sediment.
Vicenzo Abichequer SangalliFelipe LammelMárcio Sarroglia PinhoIsabel Harb ManssourPublished in: SAC (2017)
Keyphrases
- synthetic data
- high accuracy
- fully automatic
- statistical model
- detection method
- identification rate
- high precision
- semi automatic
- multiscale
- error rate
- neural network
- support vector machine svm
- main contribution
- theoretical analysis
- classification accuracy
- genetic algorithm
- experimental evaluation
- significant improvement
- bayesian networks
- data sets
- wavelet transform
- evaluation method
- convergence rate
- optimization method
- learning algorithm
- similarity measure
- training data
- mathematical model
- experimental study
- training set
- detection algorithm
- dynamic programming
- probabilistic model
- computationally efficient
- em algorithm
- mutual information
- feature set