Page 214 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications

204 Chapter 7 Early detection and diagnosis using deep learning

Input Convolution

Dense Block 1 Pooling

Transition Layer 1 Dense Block 2

Dense Block 3 Transition Layer 2

Transition Layer 3 Dense Block 4

Output Classification

Figure 7.6 Alzheimer's detection algorithm.

presentation, the massive mainstream trainings have been reflec-
tive that means they are using historically categorized informa-
tion to train as well as test the AI algorithms, which is a reason
of low accuracy at times. When a new case comes into picture,
this basically happens because the models are not able to train
themselves according to the fresh data that have been perceived
from the environment. The only solution to this problem is to