Download or read book Medical Applications of Laser Molecular Imaging and Machine Learning written by Yury V. Kistenev and published by . This book was released on 2021 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Brain Imaging Techniques written by Nirmal Mazumder and published by Springer Nature. This book was released on 2022-05-19 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book reviews the recent developments in brain imaging and their technological advancements to understand molecular mechanisms associated with neurological disorders and basic behaviors in humans and rodents at the structural, molecular, and functional levels. It discusses the usefulness of advanced optical microscopy techniques, including optical coherence tomography (OCT), miniscope, multiphoton fluorescence (2PF & 3PF), adaptive optics, harmonic generation, and Raman microscopy for understanding pathomechanism of brain disorders and pathological and physiological changes associated with neurodegenerative diseases. Also, the book presents conventional imaging modalities, including Magnetic Resonance Imaging (MRI), for delineating underlying mechanisms and precise early diagnosis of neurological disorders. This book is a useful resource for neuroscientists and researchers working in biomedical engineering and optics.
Download or read book Emerging Nanotechnologies for Medical Applications written by Nabeel Ahmad and published by Elsevier. This book was released on 2023-02-07 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerging Nanotechnologies for Medical Applications focuses on both commercial and premarket tools and their applications in medicine. The book develops the concept of integrating different technologies along a hierarchical structure of biological systems and clarifies biomechanical interactions on different levels for the analysis of multiscale pathophysiological phenomena. With a focus on nano-scale processes and biomedical applications, it demonstrates how knowledge can be utilized in a range of areas, including the diagnosis and treatment of various human diseases, and in alternative energy production. This book is an important reference source for scientists and researchers involved in micro- and nano-engineering, bio-nanotechnology, biomedical engineering, nanomedicine, and industries involved with optical devices, computer simulation and pharmaceuticals. - Shows how nanotechnology is being used to improve outcomes in areas of cancer, tissue grafting, and printing drugs - Explores a variety of nanoengineering techniques used for biomedical applications, including for cardiovascular, renal and dental treatments - Assesses the major challenges of manufacturing nanomaterials-based medicines on an industrial scale
Download or read book Deep Learning in Medical Image Analysis written by Gobert Lee and published by Springer Nature. This book was released on 2020-02-06 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.
Download or read book Optical Molecular Imaging in Cancer Research written by Guanglei Zhang and published by Frontiers Media SA. This book was released on 2022-04-20 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Molecular Imaging in Oncology written by Otmar Schober and published by Springer Nature. This book was released on 2020-06-27 with total page 911 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the most significant recent advances in oncological molecular imaging, covering the full spectrum from basic and preclinical research to clinical practice. The content is divided into five sections, the first of which is devoted to standardized and emerging technologies and probe designs for different modalities, such as PET, SPECT, optical and optoacoustic imaging, ultrasound, CT, and MRI. The second section focuses on multiscale preclinical applications ranging from advanced microscopy and mass spectroscopy to whole-body imaging. In the third section, various clinical applications are presented, including image-guided surgery and the radiomic analysis of multiple imaging features. The final two sections are dedicated to the emerging, crucial role that molecular imaging can play in the planning and monitoring of external and internal radiotherapy, and to future challenges and prospects in multimodality imaging. Given its scope, the handbook will benefit all readers who are interested in the revolution in diagnostic and therapeutic oncology that is now being brought about by molecular imaging.
Download or read book Laser Spectroscopy for Sensing written by Matthieu Baudelet and published by Woodhead Publishing. This book was released on 2019-09-15 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: Laser spectroscopy is a valuable tool for sensing and chemical analysis. Developments in lasers, detectors and mathematical analytical tools have led to improvements in the sensitivity and selectivity of spectroscopic techniques and extended their fields of application. Laser Spectroscopy for Sensing, Second Edition examines these advances and how laser spectroscopy can be used in a diverse range of industrial, medical, and environmental applications. The book provides an overview of laser spectroscopy at three levels: the fundamental aspects to consider when planning use of laser spectroscopy to solve a problem (from the sample properties to the laser properties to the data analysis), the technical aspects of several spectroscopic techniques, and the fields of applications of such techniques. In the new edition, key advancements from the field are captured as well as two new chapters on Raman Spectroscopy and Laser-induced breakdown spectroscopy. Laser Spectroscopy for Sensing provides readers with a broad overview of the techniques and applications of laser spectroscopy for sensing. Presents the fundamentals of laser technology for controlling the spectral and temporal aspects of laser excitation Explores laser spectroscopy techniques, including Raman spectroscopy and laser-induced breakdown spectroscopy Considers spectroscopic analysis of industrial materials and their applications in nuclear research and industry
Download or read book Radioguided Surgery written by Giuliano Mariani and published by Springer Science & Business Media. This book was released on 2010-05-10 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This multidisciplinary textbook is designed to be the standard on the subject and is geared for use by physicians who are involved in the care and/or diagnosis of cancer patients. Comprehensive coverage is provided on all aspects of radioguided surgery. Practical information is readily accessible and throughout there is an emphasis on improved decision making. Tables present the indications, performance, and interpretation of procedures at a glance. A wealth of illustrations, including a full-color insert, enhances the application of new concepts.
Download or read book Nanosensors written by Dimitrios Nikolelis and published by CRC Press. This book was released on 2023-04-03 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nanotechnology and biosensors show how nanotechnology is used to create affordable, mass-produced, portable, small-sized nanosensors to directly monitor food toxicants and environmental pollutants. In addition, it provides the market with systems for applications in food analysis, environmental monitoring and health diagnostics. Nanotechnology has led to a dramatic improvement in the performance, sensitivity and selectivity of biosensor devices. Metal-oxides and carbon nanostructures, gold and magnetite nanoparticles, and the integration of dendrimers in biosensors using nanotechnology, have contributed greatly to making nanosensors more effective and affordable in the market. This book provides a timely resource on the subject.
Download or read book Deep Learning in Biomedical Signal and Medical Imaging written by Ngangbam Herojit Singh and published by CRC Press. This book was released on 2024-09-30 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers detailed information on biomedical imaging using Deep Convolutional Neural Networks (Deep CNN). It focuses on different types of biomedical images to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis and image processing perspectives. Deep Learning in Biomedical Signal and Medical Imaging discusses classification, segmentation, detection, tracking, and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT, and X-RAY, amongst others. It surveys the most recent techniques and approaches in this field, with both broad coverage and enough depth to be of practical use to working professionals. It includes examples of the application of signal and image processing employing Deep CNN to Alzheimer’s, brain tumor, skin cancer, breast cancer, and stroke prediction, as well as ECG and EEG signals. This book offers enough fundamental and technical information on these techniques, approaches, and related problems without overcrowding the reader’s head. It presents the results of the latest investigations in the field of Deep CNN for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine the fundamental theory of artificial intelligence (AI), machine learning (ML,) and Deep CNN with practical applications in biology and medicine. Certainly, the list of topics covered in this book is not exhaustive, but these topics will shed light on the implications of the presented techniques and approaches on other topics in biomedical data analysis. The book is written for graduate students, researchers, and professionals in biomedical engineering, electrical engineering, signal process engineering, biomedical imaging, and computer science. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educators who are working in the context of the topics.
Download or read book Specialty Optical Fibers written by Mário Fernando Santos Ferreira and published by Elsevier. This book was released on 2024-02-17 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: Specialty Optical Fibers reviews theoretical and experimental photonic research relevant to the synthesis, processing, characterization, modeling, physical features, and applications of Specialty Optical Fibers (SOFs) with significant technological impact potential. All fiber-based advanced photonics device components rely on specialty optical fibers, which have either a unique waveguide structure or a novel material composition. High power optical amplifiers, high power fiber, and novel fabrication techniques for optical fiber design have enabled significant technological advances. The book provides discussion on these applications including current research directions, future opportunities and remaining challenges.Specialty Optical Fibers is suitable for researchers in academia and practitioners in R&D working in the subject areas of materials science, electrical engineering, and fiber optics. - Includes an overview of specialty optical fiber materials design and fabrication technologies - Reviews fundamentals of the most relevant optical fiber materials, including their physics, chemistry, and optoelectronics principles - Explores current research directions and future opportunities and challenges of utilization of optical fibers for a wide range of diverse applications
Download or read book Optical Polarimetric Modalities for Biomedical Research written by Nirmal Mazumder and published by Springer Nature. This book was released on 2023-07-25 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on polarization microscopy, a powerful optical tool used to study anisotropic properties in biomolecules, and its enormous potential to improve diagnostic tools for various biomedical research. The interaction of polarized light with normal and abnormal regions of tissue reveals structural information associated with its pathological condition. Diagnosis using conventional microscopy can be time-consuming, as pathologists require an hour to freeze and stain tissue slices from suspected patients. In comparison, polarization microscopy more quickly distinguishes abnormal tissue and provides better microstructural information of samples, even in the absence of staining. This book provides a basic understanding of the properties of polarized light, a description of the polarization microscope, and a mathematical formalism of Mueller matrix polarimetry. The authors discuss various advanced linear and nonlinear optical techniques such as optical coherence tomography (OCT), reflectance and transmission spectroscopy, fluorescence, multiphoton excitation, second harmonic generation, Raman microscopy, and more. They explore the exciting potential of integrating polarimetry with these techniques for possible applications in different areas of biomedical research, as well as the associated challenges. Including the most recent developments on the topic, this book serves as a modern guide to polarization microscopy and advancements in its use in biomedical research.
Download or read book Translational Advances in Alzheimer s Parkinson s and other Dementia Molecular Mechanisms Biomarkers Diagnosis and Therapies Volume II written by Jiehui Jiang and published by Frontiers Media SA. This book was released on 2022-11-15 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational Molecular Magnetic Resonance Imaging for Neuro oncology written by Michael O. Dada and published by Springer Nature. This book was released on 2021-07-31 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T1 and T2 relaxation data. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medical personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic resonance imaging for medical diagnosis, prognosis, therapy and management of tissue diseases.
Download or read book Optical Spectroscopy And Imaging For Cancer Diagnostics Fundamentals Progress And Challenges written by Noureddine Melikechi and published by World Scientific. This book was released on 2023-01-06 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an interdisciplinary book that presents the applications of novel laser spectroscopy and imaging techniques for the detection of cancers recently developed by some of the world's most renown researchers. The book consists of three parts and a total of 16 chapters. Each chapter is written by leading experts who are actively seeking to develop novel spectroscopic and analytical methods for cancer detection and diagnosis.In Part I, the authors present fundamentals on optics, atoms and molecules, biophysics, cancer and machine learning. These chapters are intended for those who are not experts in the field but wish to learn about fundamentals' aspects of some of the key topics that are addressed in this book. Particular attention has been given to providing key references for those who wish to go further into the fundamental aspects of atoms and molecules, light-matter interaction, optical instrumentation, machine learning and cancer.In Part II, the authors present key applications of various laser spectroscopic methods in cancer diagnosis. They have provided recent progress in cancer diagnostics obtained by combining laser spectroscopy and machine learning for the analysis of the spectra acquired from biomedical tissues and biofluids.In Part III, the authors present chapters that discuss key developments in the applications of various laser imaging techniques for cancer detection.This is one of the few books that addresses cancer detection and diagnosis using laser spectroscopic and imaging tools with an eye on providing the reader the scientific tools, including machine learning ones.
Download or read book Deep Learning Applications in Translational Bioinformatics written by Khalid Raza and published by Elsevier. This book was released on 2024-03-07 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning Applications in Translational Bioinformatics, a new volume in the Advances in Ubiquitous Sensing Application for Healthcare series, offers a detailed overview of basic bioinformatics, deep learning, various applications of deep learning in translational bioinformatics including deep learning ensembles, deep learning in protein classification, detection of various diseases, prediction of antiviral peptides, identification of antibiotic resistance, computer aided drug design and drug formulation. This new volume helps researchers working in the field of machine learning and bioinformatics to foster future research and development in ensemble deep learning and inspire new bioinformatics applications that cannot be attained by using traditional machine learning models. - Addresses the practical application of deep learning algorithms to a wide range of bioinformatics challenges - Presents integrative and multidisciplinary approaches to ubiquitous healthcare - Includes case studies to illustrate the concepts discussed
Download or read book Application of Deep Learning Methods in Healthcare and Medical Science written by Rohit Tanwar and published by CRC Press. This book was released on 2023-01-12 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume provides a wealth of up-to-date information on developments and applications of deep learning in healthcare and medicine, providing deep insight and understanding of novel applications that address the tough questions of disease diagnosis, prevention, and immunization. The volume looks at applications of deep learning for major medical challenges such as cancer detection and identification, birth asphyxia among neonates, kidney abnormalities, white blood cell segmentation, diabetic retinopathy detection, and Covid-19 diagnosis, prevention, and immunization. The volume discusses applications of deep learning in detection, diagnosis, intensive examination and evaluation, genomic sequencing, convolutional neural networks for image recognition and processing, and more for health issues such as kidney problems, brain tumors, lung damage, and breast cancer. The authors look at ML for brain tumor segmentation, in lung CT scans, in digital X-ray devices, and for logistic and transport systems for effective delivery of healthcare.
