Classification of chromosomes using a probabilistic neural network

Cytometry

Volumn 16, Issue 1, 1994, Pages 17-24

  Sweeney, Walter P ^a   Musavi, Mohamad T ^a   Guidi, John N ^b  

^a UNIVERSITY OF MAINE   (United States)

^b JACKSON LABORATORY   (United States)

Author keywords

computer assisted karyotyping; Neural network classifier; probabilistic neural network

Indexed keywords

ARTICLE; CHROMOSOME ANALYSIS; CLASSIFICATION; CONTROLLED STUDY; HUMAN; HUMAN CELL; IMAGE ANALYSIS; KARYOTYPE; MATHEMATICAL MODEL; NERVE CELL NETWORK; PRIORITY JOURNAL;

CHROMOSOMES, HUMAN; DATABASES, FACTUAL; HUMAN; KARYOTYPING; NEURAL NETWORKS (COMPUTER); PROBABILITY;

EID: 0028225288     PISSN: 01964763     EISSN: 10970320     Source Type: Journal    
DOI: 10.1002/cyto.990160104     Document Type: Article

References (20)

1. Application of artificial neural networks to chromosome classification
2. Automatically inferred Markov network models for classification of chromosomal band pattern structures
3. Chromosome analysis by computer
4. On the selection of systems for automated cytogenetic analysis
5. Automatic classification of chromosomes as part of a routine system for clinical analysis
6. Computer analysis of Giemsa banding patterns and automatic classification of human chromosomes
7. On the training of radial basis function networks
8. A probabilistic model for evaluation of neural network classifier
9. Minimum error neural network (MNN)
10. Computer‐assisted karyotyping with human interaction
11. The effect of zero feature correlation assumption on maximum likelihood based classification of chromosomes
12. On fully automatic feature measurement for banded chromosome classification
13. Generation of polynomial discriminant functions for pattern recognition
14. Probabilistic neural networks and the polynomial adaline as complementary techniques for classification
15. Probabilistic neural networks
16. A generalized regression neural network
17. The Lockheed probabilistic neural network processor. Seattle