Page 255 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications

246 Chapter 9 Applications of deep learning in biomedical engineering

recognition, natural language processing (NLP), drug disclosure,
and bioinformatics. This chapter covers the discussion about
the complexities in DL techniques concerning medical image
and biomedical applications.

2. Biomedical engineering

Biomedical engineering, also stated as bioengineering, Bio-
Med or BME, is the fusion of engineering principles and biolog-
ical materials, which can be applied to medicine and
healthcare. This improves the concerned medical field from dis-
ease diagnosis and analysis to treatment and recovery.
The advancement of technology in biomedicine has become
the most promising field by the development of numerous tech-
niques including the following:
1. Prosthetics
2. Laser surgery
3. Kidney dialysis using therapeutic equipment
4. Artificial organs implantation
5. Surgical robots
6. Radiation therapy
7. Employing physical therapy devices
8. Pharmaceutical drugs discovery [1]
The biomedical engineering can be implemented in several
subfields, as illustrated in Fig. 9.1:
• Omics: It refers to the collection of technologies that charac-
terize the relationships between various types of molecules
such as genes, proteins, metabolites, and so on.
• Bioimaging: It is the process of visualizing biological activities
of cell and tissue by examining the histopathological images.

Figure 9.1 The different levels of the biomedical applications.