An automated multispectral pixel and image classification system using texture analysis and neural networks
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James F. Greenleaf | Yi Zheng | David A. Foley | Thomas M. Kinter | T. Kinter | J. Greenleaf | D. A. Foley | Y. Zheng
[1] N. J. Pressman. Markovian analysis of cervical cell images. , 1976, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.
[2] Texture analysis of ultrasound B-scans to aid diagnosis of cancerous lesions in the breast , 1988, IEEE 1988 Ultrasonics Symposium Proceedings..
[3] James C. Bezdek,et al. A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain , 1992, IEEE Trans. Neural Networks.
[4] James F. Greenleaf,et al. Use of gray value distribution of run lengths for texture analysis , 1990, Pattern Recognit. Lett..
[5] A J Tajik,et al. Feasibility of identifying amyloid and hypertrophic cardiomyopathy with the use of computerized quantitative texture analysis of clinical echocardiographic data. , 1989, Journal of the American College of Cardiology.
[6] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[7] G. Glover,et al. Textural Variations in B-Mode Ultrasonography: A Stochastic Model , 1981 .
[8] Christian Lebiere,et al. The Cascade-Correlation Learning Architecture , 1989, NIPS.
[9] S. M. Collins,et al. Quantitative texture analysis in two-dimensional echocardiography: application to the diagnosis of experimental myocardial contusion. , 1983, Circulation.
[10] J. Seward,et al. Early recognition of heart transplant rejection by backscatter analysis from serial 2D ECHOs in a heterotopic transplant model. , 1987, The Journal of heart transplantation.