Adaptive histogram equalization and its variations
Computer Vision, Graphics, and Image Processing
Contrast enhancement technique based on local detection of edges
Computer Vision, Graphics, and Image Processing
Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive-neighborhood histogram equalization for image enhancement
CVGIP: Graphical Models and Image Processing
A novel fuzzy logic approach to mammogram contrast enhancement
Information Sciences—Applications: An International Journal
Combining Inter- and Intradimensional Alignment Analysis to Support Data Distribution
HPCN Europe '97 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
Adaptive Noise Equalization and Image Analysis in Mammography
IPMI '93 Proceedings of the 13th International Conference on Information Processing in Medical Imaging
Detection of clustered microcalcifications in small field digital mammography
Computer Methods and Programs in Biomedicine
IEEE Transactions on Information Technology in Biomedicine
An evaluation of contrast enhancement techniques for mammographic breast masses
IEEE Transactions on Information Technology in Biomedicine
An automatic microcalcification detection system based on a hybrid neural network classifier
Artificial Intelligence in Medicine
Detection of Microcalcifications Using Coordinate Logic Filters and Artificial Neural Networks
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A Wavelet-Based Mammographic Image Denoising and Enhancement with Homomorphic Filtering
Journal of Medical Systems
Effective recognition of MCCs in mammograms using an improved neural classifier
Engineering Applications of Artificial Intelligence
Multiple layers block overlapped histogram equalization for local content emphasis
Computers and Electrical Engineering
ANN vs. SVM: Which one performs better in classification of MCCs in mammogram imaging
Knowledge-Based Systems
Automatic microcalcification and cluster detection for digital and digitised mammograms
Knowledge-Based Systems
A boosting based approach for automatic micro-calcification detection
IWDM'10 Proceedings of the 10th international conference on Digital Mammography
Filtering of poisson noise in digital mammography using local statistics and adaptive wiener filter
IWDM'12 Proceedings of the 11th international conference on Breast Imaging
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In this work, the effect of an image enhancement processing stage and the parameter tuning of a computer-aided detection (CAD) system for the detection of microcalcifications in mammograms is assessed. Five (5) image enhancement algorithms were tested introducing the contrast-limited adaptive histogram equalization (CLAHE), the local range modification (LRM) and the redundant discrete wavelet (RDW) linear stretching and shrinkage algorithms. CAD tuning optimization was targeted to the percentage of the most contrasted pixels and the size of the minimum detectable object which could satisfactorily represent a microcalcification. The highest performance in two mammographic datasets, were achieved for LRM (A"Z=0.932) and the wavelet-based linear stretching (A"Z=0.926) methodology.