Crynodeb
Breast cancer is one of the major causes of death in women. Computer Aided Diagnosis (CAD) systems are being developed to assist radiologists in early diagnosis. Micro-calcifications can be an early symptom of breast cancer. Besides detection, classification of micro-calcification as benign or malignant is essential in a complete CAD system. We have developed a novel method for the classification of benign and malignant micro-calcification using an improved Fisher Linear Discriminant Analysis (LDA) approach for the linear transformation of segmented micro-calcification data in combination with a Support Vector Machine (SVM) variant to classify between the two classes. The results indicate an average accuracy equal to 96% which is comparable to state-of-the art methods in the literature. Graphical Abstract Classification of Micro-calcification in Mammograms using Scalable Linear Fisher Discriminant Analysis.
Iaith wreiddiol | Saesneg |
---|---|
Tudalennau (o-i) | 1475-1485 |
Nifer y tudalennau | 11 |
Cyfnodolyn | Medical and Biological Engineering and Computing |
Cyfrol | 56 |
Rhif cyhoeddi | 8 |
Dyddiad ar-lein cynnar | 25 Ion 2018 |
Dynodwyr Gwrthrych Digidol (DOIs) | |
Statws | Cyhoeddwyd - 01 Awst 2018 |