Abnormalities Detection in Digital Mammography Using Template Matching

Abstract

Breast cancer affects 1 in 8 women in the United States. Early detection and diagnosis is key to recovery. Computer-Aided Detection (CAD) of breast cancer helps decrease morbidity and mortality rates. In this study we apply Template Matching as a method for breast cancer detection to a novel data set comprised of mammograms annotated according to ground truth. Performance is evaluated in terms of Area Under the Receiver Operator Characteristic Curve (Area Under ROC) and Free-response ROC.

Authors and Affiliations

Ahmed Farrag

Keywords

Related Articles

Algorithms for Content Distribution in Networks

In this paper an algorithm is presented which helps us to optimize the performance of content distribution servers in a network. If it is following the pay-as-you-use model then this algorithm will result in significant...

MMO: Multiply-Minus-One Rule for Detecting & Ranking Positive and Negative Opinion

Hit and hot issue about reviews of any product is sentiment classification. Not only manufacturing company of the reviewed product takes decision about its quality, but the customers’ purchase of the product is also base...

Let’s Code: A Kid-friendly Interactive Application Designed to Teach Arabic-speaking Children Text-based Programming

Programming is the cornerstone for the development of all of the technologies we encounter in our daily lives. It also plays an important role in enhancing creativity, problem-solving, and logical thinking. Due to the im...

Detection of Malware and Malicious Executables Using E-Birch Algorithm

Malware detection is one of the challenges to the modern computing world. Web mining is the subset of data mining used to provide solutions for complex problems. Web intelligence is the new hope for the field of computer...

VoIP QoS Analysis over Asterisk and Axon Servers in LAN Environment

Voice over IP (VoIP) is a developing technology and a key factor in both the emerging cyberspace engineering and also an accomplishment to set up its position in the telecom industry. VoIP technology is based on internet...

Download PDF file
  • EP ID EP159285
  • DOI 10.14569/IJACSA.2016.070271
  • Views 111
  • Downloads 0

How To Cite

Ahmed Farrag (2016). Abnormalities Detection in Digital Mammography Using Template Matching. International Journal of Advanced Computer Science & Applications, 7(2), 546-550. https://www.europub.co.uk/articles/-A-159285