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Proceedings Paper

Detection of immunocytological markers in photomicroscopic images
Author(s): David Friedrich; Joschka zur Jacobsmühlen; Till Braunschweig; André Bell; Kraisorn Chaisaowong; Ruth Knüchel-Clarke; Til Aach
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Paper Abstract

Early detection of cervical cancer can be achieved through visual analysis of cell anomalies. The established PAP smear achieves a sensitivity of 50-90%, most false negative results are caused by mistakes in the preparation of the specimen or reader variability in the subjective, visual investigation. Since cervical cancer is caused by human papillomavirus (HPV), the detection of HPV-infected cells opens new perspectives for screening of precancerous abnormalities. Immunocytochemical preparation marks HPV-positive cells in brush smears of the cervix with high sensitivity and specificity. The goal of this work is the automated detection of all marker-positive cells in microscopic images of a sample slide stained with an immunocytochemical marker. A color separation technique is used to estimate the concentrations of the immunocytochemical marker stain as well as of the counterstain used to color the nuclei. Segmentation methods based on Otsu's threshold selection method and Mean Shift are adapted to the task of segmenting marker-positive cells and their nuclei. The best detection performance of single marker-positive cells was achieved with the adapted thresholding method with a sensitivity of 95.9%. The contours differed by a modified Hausdorff Distance (MHD) of 2.8 μm. Nuclei of single marker positive cells were detected with a sensitivity of 95.9% and MHD = 1.02 μ;m.

Paper Details

Date Published: 23 February 2012
PDF: 8 pages
Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83153D (23 February 2012); doi: 10.1117/12.911796
Show Author Affiliations
David Friedrich, RWTH Aachen Univ. (Germany)
Joschka zur Jacobsmühlen, RWTH Aachen Univ. (Germany)
Till Braunschweig, Univ. Hospital Aachen (Germany)
André Bell, RWTH Aachen Univ. (Germany)
Kraisorn Chaisaowong, RWTH Aachen Univ. (Germany)
King Mongkut's Univ. of Technology North Bangkok (Thailand)
Ruth Knüchel-Clarke, Univ. Hospital Aachen (Germany)
Til Aach, RWTH Aachen Univ. (Germany)


Published in SPIE Proceedings Vol. 8315:
Medical Imaging 2012: Computer-Aided Diagnosis
Bram van Ginneken; Carol L. Novak, Editor(s)

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