Segmentation of cervical nuclei using SLIC and pairwise regional contrast.
Annu Int Conf IEEE Eng Med Biol Soc
; 2018: 3422-3425, 2018 Jul.
Article
en En
| MEDLINE
| ID: mdl-30441123
ABSTRACT
A framework to detect and segment nuclei from cervical cytology images is proposed in this study. Poor contrast, spurious edges, degree of overlap, and intensity inhomogeneity make the nuclei segmentation task more complex in overlapping cell images. The proposed technique segments cervical nuclei by merging over-segmented SLIC superpixel regions using a novel region merging criteria based on pairwise regional contrast and image gradient contour evaluations. The framework was evaluated using the first overlapping cervical cytology image segmentation challenge - ISBI 2014 dataset. The result shows that the proposed framework outperforms the state-of-the-art algorithms in nucleus detection and segmentation accuracies.
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Núcleo Celular
/
Cuello del Útero
Idioma:
En
Revista:
Annu Int Conf IEEE Eng Med Biol Soc
Año:
2018
Tipo del documento:
Article