S. S. Mohamed

According to our database1, S. S. Mohamed authored at least 12 papers between 2004 and 2011.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2011
An Automated Neural-Fuzzy Approach to Malignant Tumor Localization in 2D Ultrasonic Images of the Prostate.
J. Digit. Imaging, 2011

2009
Prostate Tissue Texture Feature Extraction for Suspicious Regions Identification on TRUS Images.
J. Digit. Imaging, 2009

Prostate TRUS Image Region-Based Feature Extraction and Evaluation.
Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009

2008
Prostate Cancer Spectral Multifeature Analysis Using TRUS Images.
IEEE Trans. Medical Imaging, 2008

2007
Prostate Tissue Texture Feature Extraction for Cancer Recognition in TRUS Images Using Wavelet Decomposition.
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007

Subband-Adaptive and Spatially-Adaptive Wavelet Thresholding for Denoising and Feature Preservation of Texture Images.
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007

2006
AIS TLS-ESPRIT feature selection for prostate tissue characterization.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Prostate Tissue Characterization Using TRUS Image Spectral Features.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

On the Use of Spectral Clustering for Prostate Tissue Characterization.
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006

2005
Computer-aided diagnosis for prostate cancer using support vector machine.
Proceedings of the Medical Imaging 2005: Visualization, 2005

Artificial Life Feature Selection Techniques for Prostrate Cancer Diagnosis Using TRUS Images.
Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

2004
Region of Interest Based Prostate Tissue Characterization Using Least Square Support Vector Machine LS-SVM.
Proceedings of the Image Analysis and Recognition: International Conference, 2004


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