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What is Region of Interest

Enhancing Medical Imaging with Emerging Technologies
A “Region of Interest” (ROI) refers to a specific area within an image or dataset that is selected for detailed analysis. In various fields, including medical imaging and computer vision, ROI helps focus attention on key features, improving efficiency and accuracy. It aids in extracting meaningful information, reducing computational load, and enhancing the interpretation of data.
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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AVI of Surface Flaws on Manufactures I
A selected subset of samples within a dataset identified for a particular purpose. In image processing, the Region of Interest is identified by the boundaries of an object. The encoding of a Region of Interest can be achieved by basing its choice on: (a) a value that may or may not be outside the normal range of occurring values; (b) purely separated graphic information, like drawing elements; (c) separated semantic information, such as a set of spatial and/or temporal coordinates.
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Detecting Significant Changes in Image Sequences
A segmented area of an image that can either be a meaningful object, or any other set of pixels utilized during intelligent analysis.
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AVI of Surface Flaws on Manufactures II
A selected subset of samples within a dataset identified for a particular purpose. In image processing, the Region of Interest is identified by the boundaries of an object. The encoding of a Region of Interest can be achieved by basing its choice on: (a) a value that may or may not be outside the normal range of occurring values; (b) purely separated graphic information, like drawing elements; (c) separated semantic information, such as a set of spatial and/or temporal coordinates.
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Estimating Emotions Using Geometric Features from Facial Expressions
Selection of a subset of pixel of the given image for the particular purpose which may either be arbitrary region, or only a regular sub image of the input image.
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