GVIP Journal    

GVIP Volume (6) ,ISSUE (1) ICGST
An Automated Computer Aided Breast Cancer Detection System
Varsha H. Patil1 , Dattatraya S. Bormane2 and Vaishali S. Pawar3
1 Computer Engineering Department, K. K. Wagh Institute of Engineering Education and Research, Nashik (MS) India
2Bharti Vidyapeeth’s College of Engineering for Women, Pune (MS), India.
3Computer Engg Dept., NDMVP’s College of Engineering , Nashik (MS), India.

Abstract:

Each year, 182,000 women are diagnosed with breast cancer and 43,300 die. One woman in eight either has or will develop breast cancer in her lifetime. If detected early, the five-year survival rate exceeds 95%.Mammography can detect very early breast tumors, when they are too small to be felt. In fact, most of the breast cancers detected by screening are at this very early stage, when they are relatively easy to cure. The responsibility of the physician in breast cancer screening involves the interpretation of images of the breast for the identification of potential abnormalities, and their categorization with respect to growth. Such images include mammograms, contrast-enhanced magnetic resonance images (MRI) and ultrasound images. We present a Computer Aided Detection system to suit the need of a of Computer Aided Detection (CAD) in cancer screening for civilizing image excellence and detecting abnormalities in a diversity of modalities associated with cancer screening that is, mammography in breast cancer. The objective is the development of an online automated process expert of cataloging suspicious regions, supplementing and humanizing the physician's ability to spot abnormalities.

Keywords: breast Cancer, Computer Aided Detection(CAD), Magnetic Resonance Images (MRI), Super Resolution, X-Ray CT.

Mrs. Varsha Patil, is postgraduate in Computer Engineering. She is working as Assistant Professor in Computer Engineering Department of KKWIEER, Nashik. She is currently working towards her PhD in the area of super resolution image reconstruction. Her areas of interest include Data Structures, Algorithms, Theory of Computation, Image processing and Parallel Computing.

 

Dr. Dattatraya S. Bormane, is PhD in Engineering. He is working as Principal at Bharati Vidyapeeth’s college of engineering for women, Pune. His areas of research include Signal Processing and Image processing. He has more than 24 papers to his credit published at various national and international conference proceedings and journals.

 

Mrs. Vaishali Pawar, is graduate in Computer Engineering. She is working as Lecturer in Computer Engineering Department of NDMVPs College of Engineering, Nashik.. Her areas of interest include Discrete Structures, Theory of Computation, Image processing and Operating System.

 

BibTex:

@ARTICLE{P1150627007,

AUTHOR = {Varsha H. Patil and Dattatraya S. Bormane and Vaishali B. Pawar},

TITLE = {An Automated Computer Aided Breast Cancer Detection System},

JOURNAL ={ICGST International Journal on Graphics, Vision and Image Processing},

YEAR = {2006},

VOLUME = {6},

ISSUE ={1},

PAGES={69--72} 

}

(Full Paper 314KB)