NDLI: A hierarchical artificial neural network system for the classification of cervical cells

Content Provider	IEEE Xplore Digital Library
Author	Bazoon, M. Stacey, D.A. Chen Cui Harauz, G.
Copyright Year	1994
Description	Author affiliation: Guelph Univ., Ont., Canada (Bazoon, M.; Stacey, D.A.; Chen Cui; Harauz, G.)
Abstract	The task of cervical cell classification can be divided into four sub-tasks: (1) the isolation of single cells, cell clusters and clumps as well as artifacts, (2) the segmentation of the cell image into nucleus and cytoplasm, (3) the extraction of cell features such as size and density of the nucleus and cytoplasm, grey level extrema, fractal dimension, texture parameters and shape measures, and (4) the use of these features to classify the cell as normal or abnormal. The final problem of formulating a diagnostic decision based on these data is a multivariate statistical one, to which there are many theoretical and practical solutions. Palcic et al. (1992) have performed a discriminant function analysis of a large set of such measurements, and have achieved a high predictive accuracy. This paper describes a solution for the cell classification task which utilizes a hierarchical system of artificial neural networks (ANNs) using backpropagation (BP) and achieves extremely high accuracy.
Starting Page	3525
Ending Page	3529
File Size	347561
Page Count	5
File Format	PDF
ISBN	078031901X
DOI	10.1109/ICNN.1994.374902
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-06-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Shape measurement Image segmentation Data mining Feature extraction Fractals Density measurement Nuclear measurements Size measurement Performance evaluation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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