Automated Seed-Based Region Growing Using The Moving K-Means Clustering For The Detection Of Mammographic Microcalcifications.

• Main Authors: Ngah, Umi Kalthum, Mat Isa, N A, Mohd Noor, Masriah
• Format: Conference or Workshop Item
• Language: English
• Published: 2003
• Subjects: TK1-9971 Electrical engineering. Electronics. Nuclear engineering
• Online Access: http://eprints.usm.my/14166/1/automated.pdf; http://eprints.usm.my/14166/
• Institution: Universiti Sains Malaysia

Mammography is by far the proven method of early detection of breast cancer. However, mammography is not without its problems. It is amongst the most difficult of radiological images to interpret as the images are of low contrast and features indicative of abnormalities are very subtle and minute....