Proceedings Paper
Cancer cell recognition with hybrid optical neural network| Format | Member Price | Non-Member Price |
|---|---|---|
| $17.00 | $21.00 |
Paper Abstract
In this paper, we consider a promising method of pattern recognition based on Texture Features (TF) to classify cancer cell. With this technique, the TF characters are calculated among different cells or different regions of cells. Then these texture features are transmitted to the input neurons of the Back Propagation (BP) neural network. After training phase of neural network, the structure is determined. At last, we design an opto-electronic neural network to complete the cancer cells recognition.
Paper Details
Date Published: 16 September 2002
PDF: 6 pages
Proc. SPIE 4929, Optical Information Processing Technology, (16 September 2002); doi: 10.1117/12.483262
Published in SPIE Proceedings Vol. 4929:
Optical Information Processing Technology
Guoguang Mu; Francis T. S. Yu; Suganda Jutamulia, Editor(s)
PDF: 6 pages
Proc. SPIE 4929, Optical Information Processing Technology, (16 September 2002); doi: 10.1117/12.483262
Show Author Affiliations
Xiong Wan, Nanjing Univ. of Aeronautics and Astronautics and Nanchang Institute of Aeronautical Tech (China)
Yiqing Gao, Nanchang Institute of Aeronautical Technology (China)
Yiqing Gao, Nanchang Institute of Aeronautical Technology (China)
Shenglin Yu, Nanjing Univ. of Aeronautics and Astronautics (China)
Published in SPIE Proceedings Vol. 4929:
Optical Information Processing Technology
Guoguang Mu; Francis T. S. Yu; Suganda Jutamulia, Editor(s)
© SPIE. Terms of Use
