PMID: 374630Jan 1, 1979Paper

High resolution segmentation of cervical cells

The Journal of Histochemistry and Cytochemistry : Official Journal of the Histochemistry Society
E BengtssonB Stenkvist

Abstract

A major problem in the automation of cervical cytology screening is the segmentation of cell images. This paper presents the present status of the work on that problem at the University of Uppsala. A dual resolution system is used. Suspect malignant cells are located at 4 mu resolution. Each such cell is rescanned at 0.5 mu resolution at two different wavelengths, 530 and 570 nm. The nucleus and the cytoplasm are isolated each by two independent methods. For the nucleus adaptive thresholding in the histogram of the 570 nm image and a contouring in a radially transformed version of that image is used. For the cytoplasm a two dimensional thresholding in the 2D histogram and a contouring in a radially transformed version of the 530 nm image is used. If the two nuclear masks agree the surrounding area is checked for disturbing objects. If also the cytoplasm masks agree and are without disturbing objects the whole cell is accepted. The result of the cytoplasm masks agree and are without disturbing objects the whole cell is accepted. The result of the segmentation is thus three categories; free cells, free nuclei and rejected objects. The shape of the objects belonging to the former two categories is checked and irregularly shaped on...Continue Reading

Citations

May 1, 1996·Computers in Biology and Medicine·S H OngR Sinniah
Feb 15, 2016·Computers in Biology and Medicine·Lili ZhaoChengzhang Zhu
Feb 24, 2016·BioMed Research International·Qin MiaoVadim Backman
May 1, 1987·Gynecologic Oncology·B StenkvistJ Söderström
Apr 16, 2013·Computer Methods and Programs in Biomedicine·Patrik MalmEwert Bengtsson
Jan 20, 2011·PloS One·Helene HallböökJoachim Gullbo

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