Author:
Lizzi Frederic L,Feleppa Ernest J,Kaisar Alam S,Deng Cheri X
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference67 articles.
1. Acoustic speckle: theory and experimental analysis;Abbott;Ultrason. Imaging,1979
2. Advanced Technology Laboratories, 1994. Summary of ATL-Sponsored Breast Ultrasound Study and Preliminary Findings. ATL publications
3. Alam, S.K., Lizzi, F.L., Feleppa, E.J., Liu, T., Kalisz, A., 2000. Ultrasonic multifeature analysis procedures for breast lesion classification. In: Shung, K.K., Insana, M. (Eds.), Medical Imaging 2000: Ultrasonic Imaging and Signal Processing. Society of Photo-Optical Instrumentation Engineers, Vol. 3982, Bellingham, pp. 196–201
4. Alam, S.K., Lizzi, F.L., Feleppa, E.J., Liu, T., Kalisz, A., 2002a. Computer aided diagnosis of breast lesions using a multi-feature analysis procedure. In: Insana, M.F., Walker, W. (Eds.), Medical Imaging 2002: Ultrasonic Imaging and Signal Processing. Society of Photo-Optical Instrumentation Engineers, Vol. 4687, Bellingham, WA, pp. 296–303
5. Alam, S.K., Lizzi, F.L., Feleppa, E.J., Liu, T., Kalisz, A., 2002b. Multi-feature analysis for automated breast lesion classification from ultrasonic data. In: Moxon, K., El-Sherif, D., Kanakasabai, S. (Eds.), Proceedings of the IEEE 28th Northeast Bioengineering Conference. Institute of Electrical and Electronics Engineers, pp. 287–288
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