Breast Cancer Detection with Mammogram Segmentation: A Qualitative Study
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 10
Abstract
Mammography is specialized medical imaging for scanning the breasts. A mammography exam (A Mammogram) helps in the early detection and diagnosis of breast cancer. Mammogram image segmentation is useful in detecting the breast cancer regions, hence, better diagnosis. In this paper, we applied enhanced double thresholding-based approach for Mammograms’ image segmentation. Moreover, we added the borders of the final segmented image as a contour to the original image helping physicians to easily detect the breast cancer into different Mammograms. The result is enhanced wise effect onto breast cancer qualitative detection into Mammograms, helping physicians for better diagnosis. Generalization for our study is possible for not only x-ray based Mammograms, but also for all biomedical images, as an enhanced segmentation way for better visualization, detection, and feature extraction, thus better diagnosis. Moreover, this manual thresholding method has the advantage of not only reducing processing time but also the processing storage area.
Authors and Affiliations
Samir M. Badawy, Alaa A. Hefnawy, Hassan E. Zidan, Mohammed T. GadAllah
Keywords
Related Articles
- EP ID EP262081
- DOI 10.14569/IJACSA.2017.081016
- Views 87
- Downloads 0
Novel Carrier based PWM Techniques Reduce Common Mode Voltage for Six Phase Induction Motor Drives
This paper proposes a novel pulse width modulation (CBPWM) technique for reducing the common mode voltage for a six-phase induction motor (SPIM) drive. This proposed CBPWM technique relies on setting up offset functions...
Hashtag Generator and Content Authenticator
: In the recent past, Online Marketing applications have been a focus of research. But still there are enormous challenges on the accuracy and authenticity of the content posted through social media. And if the social me...
Improving Quality of Vietnamese Text Summarization Based on Sentence Compression
Sentence compression is a valuable task in the framework of text summarization. In previous works, the sentence is reduced by removing redundant words or phrases from original sentence and tries to remain information. In...
An Approach to Improve Classification Accuracy of Leaf Images using Dorsal and Ventral Features
This paper proposes to improve the classification accuracy of the leaf images by extracting texture and statistical features by utilizing the presence of striking features on the dorsal and ventral sides of the leaves, w...
Modeling of neural image compression using GA and BP a comparative approach
It is well known that the classic image compression techniques such as JPEG and MPEG have serious limitations at high compression rate; the decompressed image gets really fuzzy or indistinguishable. To overco...