Chapter 6: Autoencoder-based dimensionality reduction in 3D breast images for efficient classification with processing by deep learning architectures
J. Vijayaraj1, B. Satheesh Kumar2, and R. Manikandan3 1Department of Artificial Intelligence and Data Science, Easwari Engineering College, Chennai, Tamil Nadu, India 2Department of Computer Science and Engineering, School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India 3School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India
Abstract
Breast malignant growth is the most ordinarily analyzed disease, which alone records for 30% of all new malignant growth analyses for ladies, representing a danger to ladies’ well-being. Classification ...
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