https://scholars.lib.ntu.edu.tw/handle/123456789/559170
標題: | Application of BSS Algorithms for Breast Cancer Detection | 作者: | Liu, S.-M. Li, C.-Y. Chen, S.-J. SAO-JIE CHEN |
關鍵字: | Blind Source Separation Algorithm; Dual-band IR Spectrogram | 公開日期: | 2019 | 卷: | 2018-November | 來源出版物: | International Conference on Digital Signal Processing, DSP | 摘要: | 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. ? 2018 IEEE. |
URI: | https://www.scopus.com/inward/record.url?eid=2-s2.0-85062774834&partnerID=40&md5=fef20f32c2295eb7c579efedcee92df1 https://scholars.lib.ntu.edu.tw/handle/123456789/559170 |
DOI: | 10.1109/ICDSP.2018.8631788 | SDG/關鍵字: | Chemotherapy; Digital signal processing; Diseases; Spectrographs; Breast Cancer; Breast cancer detection; Correctness rates; Dual-band IR; Read-out circuit; Blind source separation |
顯示於: | 電機工程學系 |
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