Application of BSS Algorithms for Breast Cancer Detection
- Resource Type
- Conference
- Authors
- Liu, Shu-Min; Li, Chen-Yu; Chen, Sao-Jie
- Source
- 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP) Digital Signal Processing (DSP), 2018 IEEE 23rd International Conference on. :1-4 Nov, 2018
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Fields, Waves and Electromagnetics
Signal Processing and Analysis
Approximation algorithms
Dual band
Spectrogram
Blind source separation
Machine learning algorithms
Breast cancer
Chemotherapy
Dual-band IR Spectrogram
Blind Source Separation Algorithm
- Language
- ISSN
- 2165-3577
This work presents the application of Blind Source Separation (BSS) Algorithms on Dual-band IR Spectrogram for breast cancer detection and tracing the effect of long-term chemotherapy for breast-cancer patients. We take Dual-band IR Spectrogram’s RAW Data as an input to the BSS algorithms. Integrated into the back-end processor of a Dual-band IR Sensor and Readout Circuit Platform, our Improved Neighbor-based BSS algorithm operated on Dual-band IR Spectrogram provides a better breast cancer detection. Considering the demarcating degree, our Improved Neighbor-based BSS algorithm is approximately 15% better than other algorithms. As to the correctness rate, our improved algorithm approximately increases 10% compared with other algorithms.