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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Karnan, M. Gandhi, K.R. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Thirunelveli, India (Karnan, M.) || Department of Computer Science and Engineering, Tamilnadu College of Engineering, Coimbatore, India (Gandhi, K.R.) |
| Abstract | Microcalcifications are one of the key symptoms facilitating early detection of breast cancer. In this paper, The textural features are extracted from the segmented mammogram image to classify the microcalcifications into benign, malignant or normal. The reduced features are selected from the extracted set of features using reduction algorithms. Initially the reduced features are normalized between zero and one. The normalized feature values are given as input to a three-layer BPN to classify the microcalcifications into benign, malignant or normal. The network is trained to produce the output value 0.9 for malignant, 0.5 for benign and 0.1 for normal images. The BPN classifier is validated using ten fold validation Method. A Receiver Operating Characteristics (ROC) analysis is performed to evaluate the classification performances of the proposed approaches. The area under the ROC curve is used as a measure of the classification performance and it is denoted by Az. A larger value of Az indicates better classification performance. The proposed system is tested on 161 pairs of digitized mammograms from the MIAS database to establish its competence |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 96016 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424459650 |
| e-ISBN | 9781424459674 |
| DOI | 10.1109/ICCIC.2010.5705891 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-28 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Databases Microcalcifications Films Receiver Operating Characteristics Feature extraction Classification algorithms Pixel BPN classifier Cancer |
| Content Type | Text |
| Resource Type | Article |
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