- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Development algorithm- computer program of digital mammograms Segmentation for detection of masses breast using Marker-Controlled Watershed in MATLAB environment | ||
| journal of kerbala university | ||
| Article 1, Volume 1, Issue 0, 2005, Pages 114-123 PDF (0 K) | ||
| Author | ||
| Dhirgaam A. Kadhim | ||
| Abstract | ||
| Breast cancer detection images are the standard clinical practice for the diagnosis and prognosis of breast cancer. Digital Mammogram has emerged as the most popular screening technique for early detection of Breast Cancer and other abnormalities. Raw digital mammograms are medical images that are difficult to interpret so we need to develop Computer Aided Diagnosis (CAD) systems that will improve detection of abnormalities in mammogram images. In this paper we present a fully algorithm for detection of abnormal masses by anatomical segmentation of Breast Region of Interest (ROI). We are using medio-lateral oblique (MLO) view of mammograms. We have proposed method Marker-Controlled Watershed Segmentation Algorithm (MCWSA). The algorithms proposed are fully autonomous, and are able to isolate and abnormal regions in the breast tissue, If any abnormalities are present it gets accurately highlighted by this algorithm thus helping the radiologists to further investigate these regions, a task very few existing mammogram segmentation algorithms can claim | ||
| Keywords | ||
| Digital Mammogram; Breast cancer detection; Marker; Controlled Watershed Segmentation Algorithm; Computer program algorithm | ||
|
Statistics Article View: 262 PDF Download: 270 |
||