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What is Medical Imaging

Enhancing Medical Imaging with Emerging Technologies
Medical imaging plays a vital role in healthcare, aiding diagnosis and treatment. Techniques like X-rays, CT scans, MRI, and ultrasound capture internal body structures for analysis. Advancements in technology enhance resolution, speed, and accuracy, enabling early disease detection and precise interventions, contributing to improved patient outcomes and personalized medicine.
Published in Chapter:
An Investigation of AI Techniques for Detecting Kidney Stones in CT Scan Images Through Advanced Image Processing
Ranjit Barua (CHST, IIEST Shibpur, India)
Copyright: © 2024 |Pages: 18
DOI: 10.4018/979-8-3693-5261-8.ch008
Abstract
Image processing techniques provide an automated and objective way to detect kidney stones in medical images, reducing the need for manual interpretation and potentially improving the accuracy and efficiency of diagnosis. It's important to note that the specific algorithms and methods used can vary depending on the type of medical imaging and the equipment employed for image acquisition. Kidney stone disease is increasingly prevalent today, primarily caused by the high concentration of minerals and salts in urine, resulting in the formation of hard deposits known as kidney stones. The gold standard for kidney stone diagnosis has shifted to computed tomography (CT). In this chapter, the authors present a concise overview of recent advancements in the diagnosis of kidney stones utilizing image processing techniques.
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Importance of Deep Learning Models in the Medical Imaging Field
Techniques that are used to get inside details of the human body.
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Leveraging Cloud Computing for Healthcare: Opportunities and Challenges
Medical imaging involves using various technologies like X-rays, CT scans, MRI, ultrasound, and PET scans to create visual representations of the inside of the human body. It's essential for diagnosing diseases, injuries, and abnormalities, aiding in treatment planning and monitoring, and providing non-invasive insights into a patient's health.
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Grid Analysis of Radiological Data
The techniques and processes used to create digital images of the human body (or parts of it) for clinical purposes (diagnosis and therapy) or medical science (including the study of normal anatomy and function).
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