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What is Computer-Aided Detection (CAD)

Machine Learning and AI Techniques in Interactive Medical Image Analysis
A technology considered to decrease observational inaccuracies and therefore the incorrect negative rates of doctors or physicians understanding medical images.
Published in Chapter:
Study of the Current Trends of CAD (Computer-Aided Detection) in Modern Medical Imaging
Ranjit Barua (OmDayal Group of Institutions, India) and Jaydeep Mondal (College of Medicine and Sagore Dutta Hospital, India)
DOI: 10.4018/978-1-6684-4671-3.ch002
Abstract
CAD or computer-aided detection is a valuable performance for exactly understanding medical images. Also, it has a worldwide business prospect. The present features concerning the four sub-steps—image pre-processing, segmentation, feature extraction, and classification—and the upcoming possibility of these systems in modern medical imaging have been studied in this chapter. Several researchers have highlighted the requirement for interaction between medical experts and engineers for effective improvement of these systems, and the present work is away on that track. The technological features of the above four steps in four imaging processes like magnetic resonance imaging (MRI), mammography, computed tomography (CT), and bone scintigraphy applied in the diagnosis of several acute diseases have been studied with a medical background. This chapter reviews these technological features with an observation to search the prospects to researchers along with the healthcare industry to offer reasonable medicinal facilities with approachability in even faraway localities.
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A Survey on Hybrid Case-Based Reasoning and Deep Learning Systems for Medical Data Classification
Is the technology of using computer-generated output to reduce observational errors by physicians interpreting medical images.
Full Text Chapter Download: US $37.50 Add to Cart
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