Traditional machine learning algorithms for breast cancer image classification with optimized deep features

Author:

Atban FurkanORCID,Ekinci EkinORCID,Garip Zeynep

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference83 articles.

1. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA: Cancer J. Clin.,2021

2. Abnormal breast identification by nine-layer convolutional neural network with parametric rectified linear unit and rank-based stochastic pooling;Zhang;J. Comput. Sci.,2018

3. G. Zhang, W. Wang, J. Moon, J.K. Pack, S.I. Jeon, A review of breast tissue classification in mammograms, in: Proceedings of the 2011 ACM Symposium on Research in Applied Computation, 2011, pp. 232–237.

4. Classification of blood cells using optimized capsule networks;Afriyie;Neural Process. Lett.,2022

5. Classification of brain tumours from MR images with an enhanced deep learning approach using densely connected convolutional network;Prakash;Comput. Methods Biomech. Biomed. Eng.: Imaging Vis.,2022

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