- Tytuł:
- A novel approach for automatic detection and classification of suspicious lesions in breast ultrasound images
- Autorzy:
-
Karimi, B.
Krzyżak, A. - Powiązania:
- https://bibliotekanauki.pl/articles/91890.pdf
- Data publikacji:
- 2013
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
automatic detection
classification
breast cancer
cancer lesions
ultrasound images
AdaBoost
artificial neural network
Fuzzy Support Vector Machine - Opis:
- In this research, a new method for automatic detection and classification of suspected breast cancer lesions using ultrasound images is proposed. In this fully automated method, de-noising using fuzzy logic and correlation among ultrasound images taken from different angles is used. Feature selection using combination of sequential backward search, sequential forward search and distance-based methods is obtained. A new segmentation method based on automatic selection of seed points and region growing is proposed and classification of lesions into two malignant and benign classes using combination of AdaBoost, Artificial Neural Network and Fuzzy Support Vector Machine classifiers and majority voting is implemented.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2013, 3, 4; 265-276
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł