Automated classification of Pap smear tests using neural networks

Proceedings of the International Joint Conference on Neural Networks

Volumn 4, Issue , 2001, Pages 2899-2901

  Li, Z ^a   Najarian, K ^a  

^a University of North Carolina at Charlotte   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CYTOLOGY; FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS; FUZZY SETS; MEDICAL APPLICATIONS; MULTILAYER NEURAL NETWORKS;

CASCADE CORRELATION NETWORK; LINEAR DISCRIMINATE NETWORK; PAP SMEAR TEST; SINGLE LAYER PERCEPTRONS; THE BETHESDA SYSTEM;

IMAGE PROCESSING;

EID: 0034844376     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. The Bethesda system for reporting cervical/vaginal cytologic diagnoses
2. Screening pap smear with near infra-red spectroscopy
3. Neural network based automated cytological specimen classification system and method
4. A theory of learnable
5. Learning of nonlinear FIR models under uniform distribution
6. Cervical cell image inspection- a task for artificial neural networks
7. A comparison of neural network architectures for cervical cell classification
8. Comparison of three different methods for automated classification of cervical cells
9. A hierarchical artificial neural network system for the classification of cervical cells
10. Computer-assisted cervical cancer screening using neural networks