Detection and Quantification of Bacilli and Clusters Present in Sputum Smear Samples: A Novel Algorithm for Pulmonary Tuberculosis Diagnosis.
Miguel SotaquiraLaura M. Rueda-DelgadoRemberth NarvaezPublished in: ICDIP (2009)
Keyphrases
- detection algorithm
- learning algorithm
- matching algorithm
- np hard
- input data
- data clustering
- computational cost
- recognition algorithm
- computational complexity
- detection method
- optimal solution
- fuzzy clustering
- dynamic programming
- particle swarm optimization
- hierarchical clustering
- fuzzy k means
- lung cancer
- segmentation algorithm
- simulated annealing
- cost function
- k means
- training samples
- clustering method
- expectation maximization
- particle filter
- color images
- synthetic datasets
- high dimensional
- density based clustering
- preprocessing