A NEW APPROACH FOR CLASSIFICATION AND DETECTION OF SUSPICIOUS LESIONS IN MAMMOGRAMS BASED ON ADAPTIVE THRESHOLDING
Published In: INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING, COMMUNICATION AND NETWORKS
Author(s): SAURABH SHARMA , ASHISH OBEROI
Abstract: Breast cancer has become one of the most dangerous carcinomas for middle-aged and older women in all over the world recently [2]. Early detection of breast cancer increases the survival rate and increases the treatment options. Mammography is the most reliable detection method used in the clinic, and computer-aided diagnosis (CAD) could assist the radiologists in reading the mammograms [4]. In this paper, a new algorithm based on adaptive thresholding for classification and detection of suspicio
- Publication Date: 03-Jun-2011
- DOI: 10.15224/978-981-07-1847-3-1027
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FRACTAL ANTENNAS: SHRINKING THE SIZE OF ANTENNA
Published In: INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING, COMMUNICATION AND NETWORKS
Author(s): ASHISH MATHUR , GEETIKA MATHUR , RANJANA TRIVEDI , SHILPA CHOUDHARY
Abstract: This paper will explain the theories and techniques for shrinking the size of an antenna through the use of fractals. Fractal antennas can obtain radiation pattern and input impedance similar to a longer antenna, yet take less area due to the many contours of the shape. Fractal antennas are a fairly new research area and are probable to have a promising future in many applications.
- Publication Date: 03-Jun-2011
- DOI: 10.15224/978-981-07-1847-3-1027
- Views: 0
- Downloads: 0