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A shape cognitron neural network for breast cancer detection
- Source :
- Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).
- Publication Year :
- 2003
- Publisher :
- IEEE, 2003.
-
Abstract
- A Neocognitron-like neural network built with universal feature planes, called shape cognitron (S-cognitron) is introduced to classify clustered microcalcifications (MCCs). The S-cognitron is composed of two modules. The first module consists of (a) a shape orientation layer, to convert first-order shape orientations into numeric values, and (b) a complex layer to extract second-order shape features. Following is a 3-D figure layer to extract the shape curvatures. It is then followed by a second module made up of a feature formation layer and a probabilistic neural network (PNN)-based classification layer, to construct "potential" high-order shape features and perform the classification. Experimental results show the promise of the system.
- Subjects :
- Artificial neural network
Contextual image classification
Computer science
Orientation (computer vision)
business.industry
Feature extraction
Pattern recognition
Construct (python library)
medicine.disease
Probabilistic neural network
Breast cancer
Feature (computer vision)
medicine
Computer vision
Artificial intelligence
Layer (object-oriented design)
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)
- Accession number :
- edsair.doi...........3ca2824ee595234b9b20c1d89d1dd9ec