MRI Breast Image Segmentation Using Artificial Bee Colony Optimization with Fuzzy Clustering and CNN Classifier-Reference-Cited by-同舟云学术

MRI Breast Image Segmentation Using Artificial Bee Colony Optimization with Fuzzy Clustering and CNN Classifier

Published:2022 Issue: Volume: Page:303-311
ISSN:2190-3018
Container-title:Intelligent Systems and Sustainable Computing
language:
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Author:

Sumathi R.,Vasudevan V.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-0011-2_28

Reference12 articles.

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2. Stephan, P., Stephan, T., Kannan, R.: A hybrid artificial bee colony with whale optimization algorithm for improved breast cancer diagnosis. Neural Comput. Appl. (2021)

3. Addeh, J., Pourmandia, M.: breast cancer diagnosis using fuzzy feature and optimized neural network via the Gbest-Guided artificial bee colony algorithm. Comput. Res. Progress Appl. Sci. Eng. 1, 152–159 (2014)

4. Kaur, J., Nazeer, K.A.: An improved clustering algorithm based on Fuzzy C-means and artificial bee colony optimization. In: 2018 International Conference on Computing, Power and Communication Technologies (GUCON), pp.1089–1094 (2018)

5. Nagi Reddy, V., Subba Rao, P.: Comparative analysis of breast cancer detection using K-means and FCM & EM segmentation techniques. Ingénierie des Systèms d’Information 23, 173–187 (2018)

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