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Prof. Hala Helmy Mohamed Zayed :: Publications: |
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| Title: | 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: | Not Available |
| Journal: | Signal Processing |
| Volume: | Not Available |
| Issue: | Not Available |
| Pages: | Not Available |
| Publisher: | Elsevier |
| Local/International: | International |
| Paper Link: | Not Available |
| Full paper | Not Available |
| 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 |
