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Chapter 1 Congruence of deep learning in biomedical engineering 5
Figure 1.4 Generative adversarial network architecture. Based on from the sources: https://towardsdatascience.com/
review-squeezenet-image-classification-e7414825581a; Amit Kumar, Rama Chellappa, A Convolution Tree with Deconvolution
Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection, arXiv:1704.01880 [cs.CV].
The procedure of stego image embedding as well as the
extraction procedure is described in Fig. 1.11 by using an autoen-
coder, which is a deep learning technique. We can also use other
deep learning models like CNN, GAN, etc. By using these types of
image encryption as well as decryption methods, hospitals/physi-
cians can preserve a patient’s information in the patient report,
MRI, and CT scan data.
