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Proceedings Paper

Novel chromatin texture features for the classification of pap smears
Author(s): Babak Ehteshami Bejnordi; Ramin Moshavegh; K. Sujathan; Patrik Malm; Ewert Bengtsson; Andrew Mehnert
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Paper Abstract

This paper presents a set of novel structural texture features for quantifying nuclear chromatin patterns in cells on a conventional Pap smear. The features are derived from an initial segmentation of the chromatin into bloblike texture primitives. The results of a comprehensive feature selection experiment, including the set of proposed structural texture features and a range of different cytology features drawn from the literature, show that two of the four top ranking features are structural texture features. They also show that a combination of structural and conventional features yields a classification performance of 0.954±0.019 (AUC±SE) for the discrimination of normal (NILM) and abnormal (LSIL and HSIL) slides. The results of a second classification experiment, using only normal-appearing cells from both normal and abnormal slides, demonstrates that a single structural texture feature measuring chromatin margination yields a classification performance of 0.815±0.019. Overall the results demonstrate the efficacy of the proposed structural approach and that it is possible to detect malignancy associated changes (MACs) in Papanicoloau stain.

Paper Details

Date Published: 29 March 2013
PDF: 8 pages
Proc. SPIE 8676, Medical Imaging 2013: Digital Pathology, 867608 (29 March 2013); doi: 10.1117/12.2007185
Show Author Affiliations
Babak Ehteshami Bejnordi, Chalmers Univ. of Technology (Sweden)
Sahlgrenska Univ. Hospital (Sweden)
Ramin Moshavegh, Chalmers Univ. of Technology (Sweden)
Sahlgrenska Univ. Hospital (Sweden)
K. Sujathan, Regional Cancer Ctr. (India)
Patrik Malm, Uppsala Univ. (Sweden)
Ewert Bengtsson, Uppsala Univ. (Sweden)
Andrew Mehnert, Chalmers Univ. of Technology (Sweden)
Sahlgrenska Univ. Hospital (Sweden)

Published in SPIE Proceedings Vol. 8676:
Medical Imaging 2013: Digital Pathology
Metin N. Gurcan; Anant Madabhushi, Editor(s)

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