Application of Blind Source Separation Algorithms on Dual-band IR Spectrogram for Breast Cancer Detection

• Main Authors: Chen-Yu Li, 李鎮宇
• Other Authors: Sao-Jie Chen
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/06284823696915431885

碩士 === 國立臺灣大學 === 電子工程學研究所 === 104 === This work presents an application of Blind Source Separation (BSS) Algorithms on Dual-band IR Spectrogram for breast cancer detection, which is used to trace 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. Also, we plan to integrate this analytical algorithm into the back-end processor of our designed Dual-band IR Sensor and Readout Circuit Platform. This work will provide a more convenient medical application of our Improved Neighbor-based BSS algorithm on Dual-band IR Spectrogram for breast cancer detection. For Demarcating Degree, our Improved Neighbor-based BSS algorithm is approximately 15% better than other algorithms. For Correctness Rate, our improved algorithm approximately increases 10% compared with other algorithms.