1995
DOI: 10.1117/12.216869
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Segmentation of nuclear images in automated cervical cancer screening

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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%
“…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%
“…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%