Structure analysis and classification of cervical cells using a processing system based on TV.

E R Reinhardt; R Erhardt; P Schwarzmann; W H Bloss; R Ott

PubMed · 396836

Structure analysis and classification of cervical cells using a processing system based on TV.

E R Reinhardt·R Erhardt·P Schwarzmann·W H Bloss·R Ott

Abstract

This paper presents preliminary results of a cell classification experiment using a new approach for feature extraction. The algorithm takes into account the special requirements of a fast parallel processing system (processor-oriented algorithms). A cell image is described by several hundred features derived from the nucleus only. The most significant features with respect to classification are determined by statistical analysis. Applying principal axis transform, a new feature set is computed, reduced considerably in dimensions. The data base (1,925 cell images of Papanicolaou-stained cervical specimens) was divided into a training set (963 images) and a test set (962 images). The classification results of the test set show that the recognition rate for the two-class problem (normal, suspicious) is better than 91%, using only ten morphologic features.

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Cervix Mucus Cytological Techniques Electronic Data Processing Female Humans Markov Chains Probability Regression Analysis Television Time Factors Journal Article

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E R Reinhardt, R Erhardt, P Schwarzmann, W H Bloss, R Ott. Structure analysis and classification of cervical cells using a processing system based on TV.. https://pubmed.ncbi.nlm.nih.gov/396836/

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