Abstract
Precise segmentation of Pap smear cell nucleus is crucial for early diagnosis of cervical cancer. This
task is particularly challenging because of cell overlapping, inconsistent staining, poor contrast and
other imaging artifacts. In this study, a novel method is proposed to segment cell nucleus from
overlapping Pap smear cell images. The proposed technique introduces a circular shape function
(CSF) to increase the robustness of Pap cell nucleus segmentation using fuzzy c-means clustering.
CSF imposes a shape constrain over the formed clusters, while improves the boundary of the
nucleus. The shape function helps to differentiate the pixels having similar intensity value but located
in different spatial regions. The method is evaluated using Overlapping Cervical Cytology
Image Segmentation Challenge - ISBI 2014 dataset and compared with the traditional FCM clustering
and recently published state-of-the-art methods. Both qualitative and quantitative measures indicate
that the new technique performs favorably with others.
task is particularly challenging because of cell overlapping, inconsistent staining, poor contrast and
other imaging artifacts. In this study, a novel method is proposed to segment cell nucleus from
overlapping Pap smear cell images. The proposed technique introduces a circular shape function
(CSF) to increase the robustness of Pap cell nucleus segmentation using fuzzy c-means clustering.
CSF imposes a shape constrain over the formed clusters, while improves the boundary of the
nucleus. The shape function helps to differentiate the pixels having similar intensity value but located
in different spatial regions. The method is evaluated using Overlapping Cervical Cytology
Image Segmentation Challenge - ISBI 2014 dataset and compared with the traditional FCM clustering
and recently published state-of-the-art methods. Both qualitative and quantitative measures indicate
that the new technique performs favorably with others.
| Original language | English |
|---|---|
| Pages | 1-8 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Gold Coast, Australia, Gold Coast, Australia Duration: 30 Nov 2016 → 2 Dec 2016 |
Conference
| Conference | 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA) |
|---|---|
| Abbreviated title | DICTA |
| Country/Territory | Australia |
| City | Gold Coast |
| Period | 30/11/16 → 2/12/16 |