Applied Intelligence for Medical Diagnosing

Applied Intelligence for Medical Diagnosing

Deepti Deepak Nikumbh, Shahzia Sayyad, Rupesh R. Joshi, Karan Sanjeev Dubey, Deep V. Mehta, Davleen Kaur Matta
DOI: 10.4018/978-1-7998-7709-7.ch004
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Abstract

Medical imaging is associated with different techniques and processes that are used to create visual representations of internal parts of the human body for diagnostic and treatment purposes within digital health. Machine learning plays a crucial role in the medical imaging field including analysis of various medical images, computer-aided diagnosis or detection, image retrieval, gene data analysis, image reconstruction, and organ segmentation. The machine learning algorithm framework recognizes the best combination of the medical image features for categorizing the medical images or processing some metric for the given image area. The images obtained are then processed using algorithms such as K-means, support vector machines, decision trees, neural networks, and deep learning techniques.
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Introduction To Medical Imaging

Medical imaging means using different technologies and processes to observe the interior of the man’s body to diagnose and treat diseases. The field of medicine has been transformed by medical imaging. Imaging remains one of the fastest-growing sources of medical data more than a century after its inception. Medical Imaging has revolutionized the Health and Wellness Industry, allowing doctors to recognize and treat diseases more efficiently. Medical imaging can even detect diseases before we can feel them. When an imaging study of the internal structure of a human body is performed, it can have a variety of benefits as the analysis and integration of the images provides vital information about the functioning of the body.

Medical Imaging comprises many radiological imaging methods:

  • Radiography

  • Fluoroscopy

  • CT Scan

  • Tactile imaging

  • Medical ultrasonography or ultrasound

  • Endoscopy

  • Magnetic resonance imaging (MRI)

  • Elastography

  • Medical photography as well as nuclear medicine functional imaging techniques like positron emission tomography (PET).

  • Thermography

    • 1.

      Radiography: X-Rays, gamma rays, and other forms of ionizing and non-ionizing radiation are used in radiography to see through any object (Radiography, 2020). Figure 1 shows radiography which uses X-rays for imaging. The output is in the form of a static image. It is generally used for dental examinations, orthopedic and chiropractic examinations. A few of the risks of Radiography include over-exposure to radiation, if the patient is pregnant it can be harmful to the fetus too.

Figure 1.

Radiography

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