Titlebook: Biomedical Imaging; Advances in Artifici Ankur Gogoi,Nirmal Mazumder Book 2024 The Editor(s) (if applicable) and The Author(s), under exclu

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How to Make Our Ideas Clear With Metaphorssease diagnostic tool by researchers and practitioners in recent years. Raman spectroscopy, a vibrational spectroscopic tool is a label-free, reliably non-invasive, rapid, easy-to-use, efficient, and sensitive to biomolecular changes in the human body. This book chapter is a dedicated explanation of

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https://doi.org/10.1007/978-94-010-0088-8 be known as computerized axial tomography (CAT), which now is popularly called computed tomography (CT). Like many great discoveries, CT was the end product of years of work put on by various investigators. Throughout the years, CT has undergone multiple improvements. In this chapter, we will deal

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1618-7210 d complicated datasets and providing clear insight into the potential abnormalities with excellent accuracy, sensitivity, and specificity. The hallmark of this book will be the contributions from international 978-981-97-5347-5978-981-97-5345-1Series ISSN 1618-7210 Series E-ISSN 2197-5647

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Artificial Intelligence in Diagnostic Medical Image Processing for Advanced Healthcare Applicationscal imaging. We study the workflow of AI in tasks such as image reconstruction, analysis, interpretation, segmentation, and enhancement. Additionally, we explore its role in computer-aided diagnosis (CAD), treatment planning, patient group classification, and predicting and reducing radiotherapy dos

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From Pixels to Predictions: Exploring the Role of Artificial Intelligence in Radiology,ning that machines using deep learning-based software will soon take over their field. Corroborating evidence suggested that several algorithms could perform numerous tasks far more effectively than the typical radiologist. As previously said, by reason of recent events, radiology trainees feel vuln

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Challenges in Accurately Using Artificial Intelligence and Machine Learning in Biomedical Imaging,biomedical imaging. To understand the numerous challenges linked to the application of AI/ML in biomedical imaging. This will assist researchers in maintaining awareness of the challenges encountered when utilizing AI/ML in the context of biomedical imaging.

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