A graph-mining algorithm for automatic detection and counting of embryonic stem cells in fluorescence microscopy images.
Geisa Martins FaustinoMarcelo GattassCarlos José Pereira de LucenaPriscila B. CamposStevens K. RehenPublished in: Integr. Comput. Aided Eng. (2011)
Keyphrases
- automatic detection
- mining algorithm
- fluorescence microscopy images
- visual inspection
- pattern mining
- graph databases
- frequent subgraphs
- tree structure
- association rules
- frequent patterns
- association rule mining
- frequent itemsets
- sequential patterns
- itemsets
- graph mining
- cell nuclei
- data mining algorithms
- data mining
- binary images
- data mining techniques
- cancer diagnosis
- knowledge discovery
- similarity measure