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Novel chromatin texture features for the classification of Pap smears

Babak Ehteshami Bejnordi (Institutionen för signaler och system) ; Ramin Moshavegh (Institutionen för signaler och system) ; K Sujathan ; Patrik Malm ; Ewert Bengtsson ; Andrew Mehnert (Institutionen för signaler och system, Digitala bildsystem och bildanalys)
Proceedings of SPIE. Medical Imaging 2013: Digital Pathology. 9th Conference on Digital Pathology at the SPIE Medical Imaging Symposium. Lake Buena Vista, FL. FEB 10-11 (0277-786X). Vol. 8676 (2013), p. Art. no. 867608.
[Konferensbidrag, refereegranskat]

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.



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Denna post skapades 2013-06-17. Senast ändrad 2016-08-22.
CPL Pubid: 178708

 

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Institutioner (Chalmers)

Institutionen för signaler och system (1900-2017)
Institutionen för signaler och system, Digitala bildsystem och bildanalys (1900-2013)

Ämnesområden

Livsvetenskaper
Bildanalys
Medicinsk bildbehandling

Chalmers infrastruktur