Mammogram classification using dynamic time warping

• Main Authors: Gardezi, S.J.S., Faye, I., Sanchez Bornot, J.M., Kamel, N., Hussain, M.
• Format: Article
• Published: Springer New York LLC 2018
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009197914&doi=10.1007%2fs11042-016-4328-8&partnerID=40&md5=387f82d6fa0da944864f0b4216603182; http://eprints.utp.edu.my/21817/
• Institution: Universiti Teknologi Petronas

This paper presents a new approach for breast cancer classification using time series analysis. In particular, the region of interest (ROI) in mammogram images is classified as normal or abnormal using dynamic time warping (DTW) as a similarity measure. According to the analogous case in time series...