Daniel W. McKee

According to our database, Daniel W. McKee authored at least 12 papers between 2001 and 2008.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2008

A kernelised fuzzy-Support Vector Machine CAD system for the diagnosis of lung cancer from tissue images.

Walker H. Land Jr., Daniel W. McKee, Tatyana Zhukov, Dansheng Song, Wei Qian

Int. J. Funct. Informatics Pers. Medicine, 2008

2007

An End-to-End Process for Cancer Identification from Images of Lung Tissue.

Walker H. Land Jr., Daniel W. McKee, Tatyana Zhukov, Dansheng Song, Wei Qian

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006

An adaptive image segmentation process for the classification of lung biopsy images.

Daniel W. McKee, Walker H. Land, Tatyana Zhukov, Dansheng Song, Wei Qian

Proceedings of the Medical Imaging 2006: Image Processing, 2006

2004

New results in computer-aided diagnosis (CAD) of breast cancer using a recently developed SVM/GRNN Oracle hybrid.

Walker H. Land, Lut Wong, Daniel W. McKee, Timothy Masters, Frances R. Anderson, Anurag Raturi, Joseph Y. Lo

Proceedings of the Medical Imaging 2004: Image Processing, 2004

Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines.

Walker H. Land, Daniel W. McKee, Frances R. Anderson, Joseph Y. Lo

Proceedings of the Medical Imaging 2004: Image Processing, 2004

Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data.

Walker H. Land Jr., Lut Wong, Daniel W. McKee, Mark J. Embrechts, Rizly Salih, Frances R. Anderson

Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004

2003

Breast cancer computer aided diagnosis (CAD) using a recently developed SVM/GRNN Oracle hybrid.

Walker H. Land Jr., Lut Wong, Daniel W. McKee, Timothy Masters, Frances R. Anderson

Proceedings of the IEEE International Conference on Systems, 2003

Application of support vector machines to breast cancer screening using mammogram and clinical history data.

Walker H. Land, Daniel W. McKee, Roberto Velazquez, Lut Wong, Joseph Y. Lo, Frances R. Anderson

Proceedings of the Medical Imaging 2003: Image Processing, 2003

Improving the predictive value of mammography using a specialized evolutionary programming hybrid and fitness functions.

Walker H. Land, Daniel W. McKee, Joseph Y. Lo, Frances R. Anderson

Proceedings of the Medical Imaging 2003: Image Processing, 2003

2002

Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms.

Walker H. Land, Margaret Bryden, Joseph Y. Lo, Daniel W. McKee, Frances R. Anderson

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001

Application of adaptive boosting to EP-derived multilayer feed-forward neural networks (MLFN) to improve benign/malignant breast cancer classification.

Walker H. Land, Timothy D. Masters, Joseph Y. Lo, Daniel W. McKee

Proceedings of the Medical Imaging 2001: Image Processing, 2001

Application of evolutionary computation and neural network hybrids for breast cancer classification using mammogram and history data.

Walter H. Land Jr., Timothy Masters, Joseph Y. Lo, Daniel W. McKee

Proceedings of the 2001 Congress on Evolutionary Computation, 2001