Author:
Chang Chuan-Yu,Chang Shu-Han,Chen Shao-Jer
Publisher
Springer Berlin Heidelberg
Reference17 articles.
1. Chang, C.Y., Lai, C.T., Chen, S.J.: Applying the Particle Swarm Optimization and Boltzmann Function for Feature Selection and Classification of Lymph Node in Ultrasound Images. In: 2008 Eighth International Conference on Intelligent Systems Design and Applications, pp. 55–60. IEEE Press, Taiwan (2008)
2. Chen, X.Y., Zheng, S.J., Tao, T.: Framework for Efficient Letter Selection in Genetic Algorithm Based Data Mining. In: 2008 International Symposium on Distributed Computing and Applications, pp. 334–338. ISTP Press, China (2008)
3. Chang, C.C., Lin, T.Y.: Linear feature extraction by integrating pairwise and global discriminatory information via sequential forward floating selection and kernel QR factorization with column pivoting. Pattern Recognition 41, 1373–1383 (2008)
4. Chen, S., Yu, S., Tzeng, J., Chen, Y., Chang, K., Cheng, K., Hsiao, F., Wei, C.: Characterization of the major histopathological components of thyroid nodules using sonographic textural features for clinical diagnosis and management. Ultrasound in Medicine & Biology 35, 201–208 (2009)
5. Chang, C.Y., Chen, S.J., Tsai, M.F.: Application of support-vector-machine-based method for feature selection and classification of thyroid nodules in ultrasound images. Pattern Recognition 43, 3494–3506 (2010)
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