Biomedical Imaging
Advances in Artificial Intelligence and Machine Learning
Series: Biological and Medical Physics, Biomedical Engineering;
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63 540 Ft (60 515 Ft + 5% VAT)
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63 540 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 2024
- Publisher Springer
- Date of Publication 27 September 2024
- Number of Volumes 1 pieces, Book
- ISBN 9789819753444
- Binding Hardback
- No. of pages347 pages
- Size 235x155 mm
- Language English
- Illustrations 19 Illustrations, black & white; 85 Illustrations, color 658
Categories
Short description:
This book presents the rapidly developing field of artificial intelligence and machine learning and its application in biomedical imaging. As is known, starting from the diagnosis of fractures by using X-rays to understanding the complex structure and function of the brain, biomedical imaging has contributed immensely toward the development of precision diagnosis and treatment strategies for numerous diseases. While continuous evolution in imaging technologies have enabled the acquisition of images having resolution and contrast far better than ever, it significantly increased the volume of data associated with each image scan?making it increasingly difficult for experts to analyze and interpret. In this context, the application of artificial intelligence (AI) and machine learning (ML) tools has become one of the most exciting frontlines of contemporary research in biomedical imaging due to their capability to extract minute traces of various disease signatures from large and 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 leaders on different AI-aided advanced biomedical imaging modalities and techniques. Included will be comprehensive description of several of the technology-driven spectacular advances made over the past few years that have allowed early detection and delineation of abnormalities with sub-pixel image segmentation and classification. Starting from the fundamentals of biomedical image processing, the book presents a streamlined and focused coverage of the core principles, theoretical and experimental approaches, and state-of-the-art applications of most of the currently used biomedical imaging techniques powered by AI.
MoreLong description:
This book presents the rapidly developing field of artificial intelligence and machine learning and its application in biomedical imaging. As is known, starting from the diagnosis of fractures by using X-rays to understanding the complex structure and function of the brain, biomedical imaging has contributed immensely toward the development of precision diagnosis and treatment strategies for numerous diseases. While continuous evolution in imaging technologies have enabled the acquisition of images having resolution and contrast far better than ever, it significantly increased the volume of data associated with each image scan?making it increasingly difficult for experts to analyze and interpret. In this context, the application of artificial intelligence (AI) and machine learning (ML) tools has become one of the most exciting frontlines of contemporary research in biomedical imaging due to their capability to extract minute traces of various disease signatures from large and 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 leaders on different AI-aided advanced biomedical imaging modalities and techniques. Included will be comprehensive description of several of the technology-driven spectacular advances made over the past few years that have allowed early detection and delineation of abnormalities with sub-pixel image segmentation and classification. Starting from the fundamentals of biomedical image processing, the book presents a streamlined and focused coverage of the core principles, theoretical and experimental approaches, and state-of-the-art applications of most of the currently used biomedical imaging techniques powered by AI.
MoreTable of Contents:
Artificial intelligence (AI) in diagnostic medical image processing: Recent advances and challenges.- Introduction to machine learning.- Artificial intelligence in Raman spectroscopy and microscopy.- Machine learning based analysis in Biomedical applications.- Applications of support vector machine in polarization sensitive fluorescence spectroscopy in biophotonics research.- Tissue optical clearing and machine learning based analysis.- Machine learning based photoacoustic image analysis for cancer diagnosis.- Diffuse optical imaging and spectroscopy as a non-invasive diagnostic tool.- Machine learning in nonlinear optical microscopy.- Deep learning in quantitative phase imaging.- Deep learning in super resolution microcopy.- Machine learning based analysis in Stokes Mueller Polarization light applications.- Polarization resolved second harmonic generation for tissue imaging.- Light microscopy in endoscopy.- Deep learning-based algorithm applied to multiphoton microscopy.- Cross polarization optical coherence tomography applications in brain research.- Machine learning applications in brain research.- Recent trends in survival prediction of malignant brain tumour patients.
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