Application of Multimodal Imaging Combined with Artificial Intelligence in Eye Diseases
Author: Xin Huang
Publisher: Frontiers Media SA
Published: 2023-10-18
Total Pages: 202
ISBN-13: 2832536107
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Artificial Intelligence in Ophthalmology
Author: Andrzej Grzybowski
Publisher: Springer Nature
Published: 2021-10-13
Total Pages: 280
ISBN-13: 3030786013
DOWNLOAD EBOOKThis book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. AI perspectives, systems and limitations are all carefully assessed throughout the book as well as the technical aspects of DL systems for retinal diseases including the application of Google DeepMind, the Singapore algorithm, and the Johns Hopkins algorithm. Artificial Intelligence in Ophthalmology meets the need for a resource that reviews the benefits and pitfalls of AI, ML and DL in ophthalmology. Ophthalmologists, optometrists, eye-care workers, neurologists, cardiologists, internal medicine specialists, AI engineers and IT specialists with an interest in how AI can help with early diagnosis and monitoring treatment in ophthalmic patients will find this book to be an indispensable guide to an evolving area of healthcare technology.
Artificial Intelligence in Medical Imaging
Author: Erik R. Ranschaert
Publisher: Springer
Published: 2019-01-29
Total Pages: 369
ISBN-13: 3319948784
DOWNLOAD EBOOKThis book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.
Medical and biological physics
Author: Prof. Dr. Bilal Semih Bozdemir
Publisher: Prof. Dr. Bilal Semih Bozdemir
Published:
Total Pages: 531
ISBN-13:
DOWNLOAD EBOOKMedical and Biological Physics Introduction to Medical and Biological Physics Fundamentals of Biological Systems Biomechanics and Biophysics Bioelectromagnetism and Bioelectricity Radiation Physics in Medicine Imaging Techniques in Biology and Medicine Spectroscopic Methods in Biological and Medical Research Molecular and Cellular Biophysics Bioinformatics and Computational Biology Tissue Engineering and Regenerative Medicine Nanotechnology in Biology and Medicine Ultrasound and its Applications in Medicine Magnetic Resonance Imaging (MRI) Principles and Techniques Emerging Trends and Future Directions in Medical and Biological Physics
High Resolution Imaging in Microscopy and Ophthalmology
Author: Josef F. Bille
Publisher: Springer
Published: 2019-08-13
Total Pages: 411
ISBN-13: 3030166384
DOWNLOAD EBOOKThis open access book provides a comprehensive overview of the application of the newest laser and microscope/ophthalmoscope technology in the field of high resolution imaging in microscopy and ophthalmology. Starting by describing High-Resolution 3D Light Microscopy with STED and RESOLFT, the book goes on to cover retinal and anterior segment imaging and image-guided treatment and also discusses the development of adaptive optics in vision science and ophthalmology. Using an interdisciplinary approach, the reader will learn about the latest developments and most up to date technology in the field and how these translate to a medical setting. High Resolution Imaging in Microscopy and Ophthalmology – New Frontiers in Biomedical Optics has been written by leading experts in the field and offers insights on engineering, biology, and medicine, thus being a valuable addition for scientists, engineers, and clinicians with technical and medical interest who would like to understand the equipment, the applications and the medical/biological background. Lastly, this book is dedicated to the memory of Dr. Gerhard Zinser, co-founder of Heidelberg Engineering GmbH, a scientist, a husband, a brother, a colleague, and a friend.
Artificial Intelligence Applications in Chronic Ocular Diseases
Author: Wei Chi
Publisher: Frontiers Media SA
Published: 2024-04-23
Total Pages: 365
ISBN-13: 2832548393
DOWNLOAD EBOOKWith the acceleration of urbanization and aging processes, chronic ocular diseases have become a critical threat to the vision health of the global population . Chronic ocular diseases include a series of disorders and conditions that involve long-term defects in both anterior and posterior segments of the eye, such as cataract, glaucoma, keratoconus (KC), diabetic retinopathy (DR), and age-related macular degeneration (AMD). However, it is still challenging to understand the mechanisms of these diseases and to discover new and reliable biomarkers to identify the diseases and their severities. Moreover, conventional methods in clinical societies are not as effective or efficient as expected, especially in the era of artificial intelligence.
Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Author: Suresh, Annamalai
Publisher: IGI Global
Published: 2020-06-26
Total Pages: 294
ISBN-13: 1799835928
DOWNLOAD EBOOKThe field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.
Artificial Intelligence in Medicine
Author: Niklas Lidströmer
Publisher: Springer
Published: 2022-03-17
Total Pages: 1816
ISBN-13: 9783030645724
DOWNLOAD EBOOKThis book provides a structured and analytical guide to the use of artificial intelligence in medicine. Covering all areas within medicine, the chapters give a systemic review of the history, scientific foundations, present advances, potential trends, and future challenges of artificial intelligence within a healthcare setting. Artificial Intelligence in Medicine aims to give readers the required knowledge to apply artificial intelligence to clinical practice. The book is relevant to medical students, specialist doctors, and researchers whose work will be affected by artificial intelligence.
Advances in Ocular Imaging and Biometry
Author: Zhenzhen Liu
Publisher: Frontiers Media SA
Published: 2022-11-09
Total Pages: 550
ISBN-13: 2832504655
DOWNLOAD EBOOKDeep Learning in Medical Image Analysis
Author: Gobert Lee
Publisher: Springer Nature
Published: 2020-02-06
Total Pages: 184
ISBN-13: 3030331288
DOWNLOAD EBOOKThis 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.
