Segmentation of nuclear images in automated cervical cancer screening

Dadeshidze, V. V.; Olsson, L.; Domanik, Richard

doi:10.1117/12.216869

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2014

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Cited by 4 publications

(2 citation statements)

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“…9 The average cell area for the cells in these buccal smears (mature squamous cells) was estimated from measurement of 103 cells from 3 slides by using an eyepiece reticule. The actual percentage of cell coverage was determined by multiplying the average cell area, computed as described, by the nuclear count determined automatically for each slide by the TracCell and dividing by the specimen area of the slide.…”

Section: Methodsmentioning

confidence: 99%

Accuracy and Reproducibility of Estimating the Adequacy of the Squamous Component of Cervicovaginal Smears

Renshaw

Friedman²,

Rahemtulla

et al. 1999

Am J Clin Pathol

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Section: Methodsmentioning

confidence: 99%

Accuracy and Reproducibility of Estimating the Adequacy of the Squamous Component of Cervicovaginal Smears

Renshaw

Friedman²,

Rahemtulla

et al. 1999

Am J Clin Pathol

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“…There are general segmentation algorithm [5] of microscopic images have Common approaches for color image segmentation are clustering algorithms such spectral analyzer is used for these cell separation of nucleus and cytoplasm…”

Section: B Segmentationmentioning

confidence: 99%

Texture Based Analysis and Contour Detection of Cervical Smear Image

P.S¹,

Ranganathan²

2011

Int. Jour. Intel. Elec. Sys.

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Pap smear is a very effective screening test for a cervical precancerous. However, hundreds of small slides have to be analyzed using microscope by the trained cytologist. This paper gives an overview of the state of the art and currently available literature and technique related Pap smear microscopic image analysis. Some techniques are used to detect cell components such as nuclei and cell boundaries. The following steps should be performed to extract the features and measure the area of the cells. Initially ROI of the denoised image undergoes segmentation to extract the features. In the next step the diameter of the nucleus was determined. The experimental results show that all the aforementioned techniques proposed have performed impressively based on the features extracted.

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An automatic segmentation of cervical intraepithelial neoplasia (CIN3) from parabasal cells

Aupayagoson

2014

2014 11th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolo

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Segmentation of nuclear images in automated cervical cancer screening

Cited by 4 publications

References 0 publications

Accuracy and Reproducibility of Estimating the Adequacy of the Squamous Component of Cervicovaginal Smears

Accuracy and Reproducibility of Estimating the Adequacy of the Squamous Component of Cervicovaginal Smears

Texture Based Analysis and Contour Detection of Cervical Smear Image

An automatic segmentation of cervical intraepithelial neoplasia (CIN3) from parabasal cells

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