Investigation of and preliminary results for the solution of the inter-observer variability problem using fine needle aspirate (FNA) data. - Walker H. Land; Lewis Loren; Timothy Masters (CEC, 1999)

Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis. - Joseph Y. Lo; Walker H. Land; Clayton T. Morrison (IJCNN, 1999)

Application of a GRNN oracle to the intelligent combination of several breast cancer benign/malignant predictive paradigms. - Walker H. Land; Timothy D. Masters; Joseph Y. Lo (Image Processing, 2000)

Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis. - Joseph Y. Lo; Walker H. Land; Clayton T. Morrison (Image Processing, 2000)

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 (Image Processing, 2001)

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 (IEEE Congress on Evolutionary Computation, 2002)

Application of support vector machines to breast cancer screening using mammogram and history data. - Walker H. Land; Anab Akanda; Joseph Y. Lo; Francis Anderson; Margaret Bryden (Image Processing, 2002)

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 (Image Processing, 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 (Image Processing, 2003)

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 (Image Processing, 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 (Image Processing, 2004)

Applying knowledge engineering and representation methods to improve support vector machine and multivariate probabilistic neural network CAD performance. - Walker H. Land; Frances R. Anderson; Tom Smith; Stephen Fahlbusch; Robert Choma; Lut Wong (Image Processing, 2005)

New approach to breast cancer CAD using partial least squares and kernel-partial least squares. - Walker H. Land; John J. Heine; Mark J. Embrechts; Tom Smith; Robert Choma; Lut Wong (Image Processing, 2005)

An adaptive image segmentation process for the classification of lung biopsy images. - Daniel W. McKee; Walker H. Land; Tatyana Zhukov; Dansheng Song; Wei Qian (Image Processing, 2006)

Deblurring of tomosynthesis images using 3D anisotropic diffusion filtering. - Xuejun Sun; Walker H. Land; Ravi Samala (Image Processing, 2007)

Robust segmentation using kernel and spatial based fuzzy c-means methods on breast x-ray images. - Xuejun Sun; Dmitry B. Goldgof; Walker H. Land (Image Processing, 2008)