أعضاء هيئة التدريس - جامعة بنها
Automated Cell Nuclei Segmentation for Breast Fine Needle Aspiration Cytology
Signal Processing • 2012
معلومات البحث
المؤلفون
Yasmeen M George, Bassant M Bagoury, Hala H Zayed, Mohamed I Roushdy
الكلمات المفتاحية
Not Available
المجلة العلمية
Signal Processing
الناشر
Elsevier
المجلد
Not Available
العدد
Not Available
الصفحات
Not Available
publication.type
International
رابط البحث
Not Available
المواد المرفقة
Not Available
الملخص
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
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