Breast Cancer Detection Using Histogram Based Decomposition
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 2
Abstract
Abstract: Breast disease are continues to be a common health problem in the world for womens. The mammographic diagnostic method is very famous method for detecting breast cancer. But sometimes in some cases, it is not so easy for the radiologist for detecting the typical diagnostic symptoms, such as masses and micro calcifications on the mammograms. Compact region in digital mammographic images are usually contain noisy and have very low contras and the infected regions are very difficult to recognize by radiologist. In this paper, we develop a Histogram base adaptive thresholding to detect suspicious cancerous location in mammograms. The algorithm consumes the combination of adaptive histogram thresholding segmentation and adaptive wavelet based thresholding segmentation on a multiresolution representation of the original mammogram. At last it shows adaptive wavelet techniques to produce the best denoised mammographic image using efficient thresholding algorithm. The algorithm has been checked with different types of around 100 mammograms in the Mammographic Image Analysis Society. Mini Mammographic database the experimental results show that the detection method has a Shows 94% correct result with exact micro calcified area.
Authors and Affiliations
Ms. Jayashree R. Parate
Keywords
Related Articles
- EP ID EP135706
- DOI -
- Views 73
- Downloads 0
Observations on Homogeneous Cubic Equation with Four Unknowns
Abstract: The non-homogeneous cubic equation with three unknowns represented by the diophantine equation X 3 Y 3 7 2n ZW 2 is analyzed for its patterns of non-zero distinct integral solutions. A few inter...
Strategies for Reinvigorating the Urban Heart of Mysore
Abstract: Reinvigoration of urban heart is an increasingly important for planning of large cities. Cities work better when they are diverse and livable, with a mix of land uses, high population densities and lively...
AN EFFICIENT WAY OF RETRIEVAL DATA BY TRACKING ATTACKERS
A major threat to the internet is that the Distributed Denial- of- Service (DDoS) attacks. There is no efficient way to traceback the attackers because of memoryless feature of routers. In this paper, trace back o...
Time Series Data Analysis for Forecasting – A Literature Review
In today's world there is ample opportunity to clout the numerous sources of time series data available for decision making. This time ordered data can be used to improve decision making if the data is converted to...
Groundwater Arsenic Contamination and its Implications: A Case Study of Shahpur Block of Bhojpur District, Bihar
Bhojpur district is one of the 36th districts in Bihar composed of 14 blocks. Out of 14 blocks, 06 blocks namely Ara, Barhara, Bihia, Koilwar, Shahpur and Udwant Nagar, situated along the bank of Ganga river are se...