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https://hdl.handle.net/2440/83721
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Type: | Conference paper |
Title: | Automated nucleus and cytoplasm segmentation of overlapping cervical cells |
Author: | Lu, Z. Carneiro, G. Bradley, A. |
Citation: | Proceedings of Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013 / K. Mori, I. Sakuma, Y. Sato, C. Barillot, N. Navab (eds.), pp.452-460 |
Publisher: | Springer |
Publisher Place: | Germany |
Issue Date: | 2013 |
Series/Report no.: | Lecture Notes in Computer Science |
ISBN: | 9783642407628 |
ISSN: | 0302-9743 1611-3349 |
Conference Name: | International Conference on Medical Image Computing and Computer-Assisted Intervention (16th : 2013 : Nagoya, Japan) |
Editor: | Mori, K. Sakuma, I. Sato, Y. Barillot, C. Navab, N. |
Statement of Responsibility: | Zhi Lu, Gustavo Carneiro, and Andrew P. Bradley |
Abstract: | In this paper we describe an algorithm for accurately segmenting the individual cytoplasm and nuclei from a clump of overlapping cervical cells. Current methods cannot undertake such a complete segmentation due to the challenges involved in delineating cells with severe overlap and poor contrast. Our approach initially performs a scene segmentation to highlight both free-lying cells, cell clumps and their nuclei. Then cell segmentation is performed using a joint level set optimization on all detected nuclei and cytoplasm pairs. This optimisation is constrained by the length and area of each cell, a prior on cell shape, the amount of cell overlap and the expected gray values within the overlapping regions. We present quantitative nuclei detection and cell segmentation results on a database of synthetically overlapped cell images constructed from real images of free-lying cervical cells. We also perform a qualitative assessment of complete fields of view containing multiple cells and cell clumps. |
Keywords: | Overlapping cell segmentation Pap smear image analysis |
Rights: | © Springer-Verlag Berlin Heidelberg 2013 |
DOI: | 10.1007/978-3-642-40811-3_57 |
Published version: | http://dx.doi.org/10.1007/978-3-642-40811-3_57 |
Appears in Collections: | Aurora harvest 4 Computer Science publications |
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