Articles
Diagnosis 1.0: software for the extraction of cell parameters of the uterine cérvix through digital image processing
Published 2002-05-01
Keywords
- Processing of images,
- morphology: erosion,
- dilation,
- detection of borders,
- Cells: superficial
- intennedia and parabasal ...More
How to Cite
Castrillón, L. E., Tristancho, L. S., García Avala, E., & Mendoza Castellanos, A. (2002). Diagnosis 1.0: software for the extraction of cell parameters of the uterine cérvix through digital image processing. Revista UIS Ingenierías, 1(1), 27–33. Retrieved from https://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/2534
Abstract
This paper supports the preliminary diagnosis of uterine cervix cancer. It determines the state (normal, dysplastic or cancerous) in individual cells dialogic demonstrations using an artificial vision system. The recognition of the state in uterine cervix cells is performed in two basic steps, namely: Initially the cell to be analyzed should be classified as superficial, intermediate or parabasal, based on its appearance (color, shape, size, etc.). ). Subsequently, it is detected which criteria of malignancy or premalignity are present, in order to make the corresponding diagnosis in the sample
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References
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DOUGHERTY Edward R Mathematical morphology in image processing, New York; Marcel Dekker, 1992.
GRAHAM Ruth. The Citologic diagnosis of cancer. Buffalo N.Y.; The Heyrnan Laboratory, W. B. Sanders Company, 1.972.
GIARDINAC. R.; DOUGHERTYE. R. Image processing continuos to discreteo Vol 1, Geometric, transformands la lislical methods, New Jersey; Prenlice Hall, 1987.
GIARDINAC. R; DOUGHERTYE. R Morphological methods in image and signal processing. New Jersey; Prenlice Hall, 1987. P. 91-182.
GIARDINA C. R; DOUGHERTYE. R. Matrix strnctured image processing, New Jersey; Prentice Hall, 1987. p.98-130.
GONZÁLEZ, RC.; FU, K. Sy LEE C.S.. Robótica: control, detección, visión e inteligencia, Madrid; MeGrawHil!, 1988.
GONZÁLEZ R. C. Digital image processing ,Massachusetts; Addison-Wesley Publishing Company, 1987.
GROOVER, MikellP.; WEISS Mitchell; NAGEL Roger N.; ODREY Nicholas G. Robótica industrial, Madrid; McGraw Hill, 1989. p.177-204.
HARALICK, R. M.; STERNBERGS. R; ZHUANGX. Image analysis using mathemalical morphology. IEEE Transaclions on Pallem Analysis and Machine Intelligence, Vol PAMI- 9 (Julio1987) No.4,p.532-551.
NIKON COPORATION. Manual de usuario del microscopio Alphaphot SEYS2, 1991.
MARAGOS, P Tutorial on advances inmorphological image processing and analysis. Oplical Engineering, Vol26 (julio 1987) No.7, p.623-632.
MARAGOSP. A representation the oryformorphological image and signal processing. IEEE Transaclion on pallemanal machine intelligence, Vol 11(Junio 1989) No.6, p.586-599.
MATROX. Pip-ez: Software library for the PIP video digitizer. User manual MATROX Electronic systerns limited,1987.
MICROSOFT CORPORATION. Microsoft Crun-time library. Reference for MS-DOS operating system, 1984.
MICROSOFT CORPORATION. Microsoft Clanguaje reference, 1984.
PAVLIDIST. AIgoritbms for graphics and image processing. Springer-Verlag, 1982.
SERRA Jean. Image analysis and mathematical morphology, New York; Academic Press, 1983.
TAKAHA5HIL. Allás Médico ilustrado, New Jersey; Prentice Hall, 1983.
ROBBINS. Patología Estrnctural y Funcional. S' Edíción Iteramericana. W. B. Saunders Company. Cap. 23 p.1155-61.