| publication name | Automated Cell Nuclei Segmentation for Breast Fine Needle Aspiration Cytology |
|---|---|
| Authors | Yasmeen M George, Bassant M Bagoury, Hala H Zayed, Mohamed I Roushdy |
| year | 2012 |
| keywords | |
| journal | Signal Processing |
| volume | Not Available |
| issue | Not Available |
| pages | Not Available |
| publisher | Elsevier |
| Local/International | International |
| Paper Link | Not Available |
| Full paper | download |
| Supplementary materials | Not Available |
Abstract
Breast cancer detection and segmentation of cytological images is the standard clinical practice for the diagnosis and prognosis of breast cancer. This paper presents a fully automated method for cell nuclei detection and segmentation in breast cytological images. The images are enhanced with histogram stretching and contrast-limited adaptive histogram equalization (CLAHE). The locations of the cell nuclei in the image are detected with circular Hough transform (CHT) and local maximum filtering. The elimination of false positive