Chapter 5: A framework for breast cancer diagnostics based on MobileNetV2 and LSTM-based deep learning
A. Jenefa1, A. Lincy2, and V. Edward Naveen3 1Department of CSE, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India 2Department of CSE, National Engineering College, Kovilpatti, Tamil Nadu, India 3Department of CSE, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India
Abstract
The diagnosis of breast cancer based on cell images obtained from biopsies performed physically by pathologists is expensive, time consuming, and prone to conflicts among professionals. Deep learning techniques will employ inferred analysis to find and study qualities in unprotected data patterns, resulting ...
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