Mammogram classification using dynamic time warping
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...
| Main Authors: | Gardezi, S.J.S., Faye, I., Sanchez Bornot, J.M., Kamel, N., Hussain, M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.21817 / |
| Published: |
Springer New York LLC
2018
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| 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/ |
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