Novel chromatin texture features for the classification of Pap smears
Paper in proceedings, 2013

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.

Author

B. Ehteshami Bejnordi

Chalmers, Signals and Systems

Ramin Moshavegh

Chalmers, Signals and Systems

K. Sujathan

Regional Cancer Centre India

P. Malm

Uppsala University

Ewert Bengtsson

Uppsala University

Andrew Mehnert

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Imaging and Image Analysis

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

16057422 (ISSN)

Vol. 8676 Art. no. 867608- 867608

Areas of Advance

Life Science Engineering (2010-2018)

Subject Categories

Computer Vision and Robotics (Autonomous Systems)

Medical Image Processing

DOI

10.1117/12.2007185

ISBN

978-0-8194-9450-4

More information

Latest update

2/28/2018