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Computer Aided System For Detecting Masses In Mammograms

Jirari, Mohammed
http://rave.ohiolink.edu/etdc/view?acc_num=kent1212099614

Abstract Details

2008, PHD, Kent State University, College of Arts and Sciences / Department of Computer Science.
An intelligent Computer-Aided Detection system (CAD) can be very helpful indetecting masses in the breast earlier and faster than typical screening programs. Two such systems are presented, first a system based on Radial Basis neural networks coupled with feature extraction techniques for detecting masses in digital mammograms. Suspicious regions are identified following a run of the trained neural network. Five co-occurrence matrices are constructed at different distances for each mammogram. A number of statistical features are used to train and test the Radial Basis neural network. The second system presented was developed based on linear subtraction and feature extraction techniques to identify asymmetries between left and right breast mammograms. This system is based on the idea that a deviation from the normal architectural symmetry of the right and left breasts could indicate a cancerous mass. The mammograms were first normalized, registered, and then linear subtraction was followed by various feature extraction techniques that were used in order to reduce the number of false positive detections. Computerized detection was evaluated by using Receiver Operating Characteristic analysis (ROC), which measured the overall sensitivity of the presented systems by the area under the curve Az. The results show that both systems could be helpful to the radiologist by serving as a second reader in mammography screening.
Cheng Chang Lu, PhD (Committee Chair)
Moulay Meziane, MD (Committee Member)
Kenneth Batcher, PhD (Committee Member)
Feodor Dragan, PhD (Committee Member)
Andrew Tonge, PhD (Committee Member)
Gail Frazier, PhD (Committee Member)
137 p.
Computer Science
MAMMOGRAMS; Mammography; Breast; radiologist; MLO; Calcifications

Recommended Citations

Citations

  • Jirari, M. (2008). Computer Aided System For Detecting Masses In Mammograms [Doctoral dissertation, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1212099614

    APA Style (7th edition)

  • Jirari, Mohammed. Computer Aided System For Detecting Masses In Mammograms. 2008. Kent State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1212099614.

    MLA Style (8th edition)

  • Jirari, Mohammed. "Computer Aided System For Detecting Masses In Mammograms." Doctoral dissertation, Kent State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=kent1212099614

    Chicago Manual of Style (17th edition)

kent1212099614
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© 2008, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.