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The Classification of Mammogram Using Convolutional Neural Network with Specific Image Preprocessing for Breast Cancer Detection
- Source :
- 2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD).
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- The incidence rate of breast cancer continued to rise in the last few decades. Current screening strategy of breast cancer is based on classic X-ray imaging. The sensitivity and specificity of the diagnosis are largely depend on the experiences of the radiologists, and uncertain diagnosis is quite frequent because of resolution limitations and the concerns of lawsuits arisen from wrong diagnosis or undetected lesions. The convolutional neural network is an effective technique for classification in deep learning model. In this study, we utilized median filter, contrast-limited adaptive histogram equalization, and data augmentation to preprocess over 9,000 mammograms, and trained a classified model by using convolutional neural network. The experiment results demonstrated that the accuracy of model with preprocessed images significantly outperformed the model without preprocessed images.
- Subjects :
- 0209 industrial biotechnology
medicine.diagnostic_test
Computer science
business.industry
Deep learning
Pattern recognition
02 engineering and technology
medicine.disease
Convolutional neural network
020901 industrial engineering & automation
Breast cancer
Histogram
0202 electrical engineering, electronic engineering, information engineering
medicine
Median filter
Preprocessor
Mammography
020201 artificial intelligence & image processing
Adaptive histogram equalization
Artificial intelligence
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD)
- Accession number :
- edsair.doi...........51a4bce567948c90db84d5e9f55cd3c2