Signal and image restoration using shock filters and anisotropic diffusion
SIAM Journal on Numerical Analysis
Approaches for automated detection and classification of masses in mammograms
Pattern Recognition
Shock filter coupled to curvature diffusion for image denoising and sharpening
Image and Vision Computing
Optimal features subset selection and classification for iris recognition
Journal on Image and Video Processing - Regular
Computer-Based Identification of Breast Cancer Using Digitized Mammograms
Journal of Medical Systems
Journal of Signal Processing Systems
Computer-aided detection and diagnosis of breast cancer with mammography: recent advances
IEEE Transactions on Information Technology in Biomedicine
Multiobjective GAs, quantitative indices, and pattern classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Swarm Optimized Neural Network System for Classification of Microcalcification in Mammograms
Journal of Medical Systems
An Improved Medical Decision Support System to Identify the Diabetic Retinopathy Using Fundus Images
Journal of Medical Systems
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An improved Computer Aided Clinical Decision Support System has been developed to classify the tumor and identify the stages of the cancer using neural network and presented in this paper. The texture and shape features have been extracted and the optimal feature set has been obtained using multiobjective genetic algorithm (MOGA). The multilayer back propagation neural network with Ant Colony Optimization and Particle Swarm Optimization has been used. The accuracy of the proposed system has been verified and found that the accuracy of 99.5% can be achieved. The proposed system can provide valuable information to the physicians in clinical pathology.