Page 16 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications

4 Chapter 1 Congruence of deep learning in biomedical engineering

Training
Training Machine Statistical
Dataset Learning Models

Prediction
&
Testing
Historical
Data Random
Sampling
Testing
Dataset Model Validation
Outcome

Prediction

New Model Predicted Outcome
Data
Figure 1.2 Training and prediction scheme.

Figure 1.3 SqueezeNet architecture [33]. Adapted from sources: https://medium.com/analytics-vidhya/; Amit Kumar, Rama
Chellappa, A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint
Detection, arXiv:1704.01880 [cs.CV].
aggressor by disguising the data inside the bearer. This approach
provides higher security and can guarantee message delivery.
Steganography is the practice of hiding information within other
less secret information. It is a Greek word: stegano infers covered
or concealed and graphy infers writing. There are many ways to
hide information, for instance, propelled pictures, chronicles,
sound reports, and other PC records; however, modernized pic-
tures are the most notable.