A novel automatic suspicious mass regions identification using Havrda & Charvat entropy and Otsu's N thresholding
- 1 May 2014
- journal article
- Published by Elsevier BV in Computer Methods and Programs in Biomedicine
- Vol. 114 (3), 349-360
- https://doi.org/10.1016/j.cmpb.2014.02.014
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Breast mass contour segmentation algorithm in digital mammogramsComputer Methods and Programs in Biomedicine, 2013
- Some coding theorem on generalized Havrda-Charvat and Tsallis's entropyTamkang Journal of Mathematics, 2012
- Segmentation of the Breast Region in Digital Mammograms and Detection of MassesInternational Journal of Advanced Computer Science and Applications, 2012
- Point Set Registration Using Havrda–Charvat–Tsallis Entropy MeasuresIEEE Transactions on Medical Imaging, 2010
- Detection of Suspicious Lesions by Adaptive Thresholding Based on Multiresolution Analysis in MammogramsIEEE Transactions on Instrumentation and Measurement, 2010
- A Wavelet-Based Mammographic Image Denoising and Enhancement with Homomorphic FilteringJournal of Medical Systems, 2009
- Image thresholding using two-dimensional Tsallis–Havrda–Charvát entropyPattern Recognition Letters, 2005
- Mammographic Mass Detection Using a Mass TemplateKorean Journal of Radiology, 2005
- A Threshold Selection Method from Gray-Level HistogramsIEEE Transactions on Systems, Man, and Cybernetics, 1979