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Dental Image Analysis For Disease Diagnosis
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Book Synopsis Dental Image Analysis for Disease Diagnosis by : Kavindra R. Jain
Download or read book Dental Image Analysis for Disease Diagnosis written by Kavindra R. Jain and published by Springer. This book was released on 2019-04-12 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of computational approaches to medical image examination and analysis in oral radiology, utilizing dental radiograph to detect and diagnose dental caries in cases of decayed teeth. Coverage includes basic image processing techniques; approaches for Region of Interest extraction and analysis; and the role of computational clustering techniques for segmentation of teeth and dental caries. The book also presents a novel multiphase level set method for automatic segmentation of dental radiographs.
Book Synopsis Dental Image Analysis for Disease Diagnosis by : Kavin R. Jain
Download or read book Dental Image Analysis for Disease Diagnosis written by Kavin R. Jain and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of computational approaches to medical image examination and analysis in oral radiology utilizing dental radiograph to detect and diagnose dental caries in cases of decayed teeth. Coverage includes basic image processing techniques; approaches for Region of Interest extraction and analysis; and the role of computational clustering techniques for segmentation of teeth and dental caries. The book also presents a novel multiphase level set method for automatic segmentation of dental radiographs.
Book Synopsis Computational Techniques for Dental Image Analysis by : Kamalanand, K.
Download or read book Computational Techniques for Dental Image Analysis written by Kamalanand, K. and published by IGI Global. This book was released on 2018-10-30 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries. Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.
Book Synopsis Dental Image Processing for Human Identification by : Deven N. Trivedi
Download or read book Dental Image Processing for Human Identification written by Deven N. Trivedi and published by Springer. This book was released on 2019-01-28 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an approach to postmortem human identification using dental image processing based on dental features and characteristics, and provides information on various identification systems based on dental features using image processing operations. The book also provides information on a novel human identification approach that uses Infinite Symmetric Exponential Filter (ISEF) based edge detection and contouring algorithms. Provides complete details on dental imaging; Discusses the important features of a human identification approach and presents a brief review on DICOM standard for dental imaging; Presents human identification approach based on dental features.
Book Synopsis Machine Learning in Dentistry by : Ching-Chang Ko
Download or read book Machine Learning in Dentistry written by Ching-Chang Ko and published by Springer Nature. This book was released on 2021-07-24 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to “learn”, for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for all dental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work.
Book Synopsis Role of Artificial Intelligence in Dentistry: Current applications and future perspectives by : Dr Seema Jabeen
Download or read book Role of Artificial Intelligence in Dentistry: Current applications and future perspectives written by Dr Seema Jabeen and published by Perfect Writer Publishing. This book was released on 2024-05-14 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past few years, artificial intelligence (AI) has received enormous attention and it has evolved to being one of the main drivers of not only modern life, through Siri, Alexa, using Google, etc. but also medicine. Throughout business, AI and associated innovations are increasingly widespread and are starting to be applied to the healthcare. [1] These technologies are capable of changing many aspects of healthcare, as well as administrative structures within hospitals, payers and pharmaceutical organizations. Although it is a new technology, AI has been increasingly utilized in different medical specialties to diagnose conditions, interpret results, and help healthcare providers to achieve good treatment outcomes.
Book Synopsis Medical Image Analysis and Informatics by : Paulo Mazzoncini de Azevedo-Marques
Download or read book Medical Image Analysis and Informatics written by Paulo Mazzoncini de Azevedo-Marques and published by CRC Press. This book was released on 2017-11-23 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of rapidly increasing medical imaging modalities and their applications, the need for computers and computing in image generation, processing, visualization, archival, transmission, modeling, and analysis has grown substantially. Computers are being integrated into almost every medical imaging system. Medical Image Analysis and Informatics demonstrates how quantitative analysis becomes possible by the application of computational procedures to medical images. Furthermore, it shows how quantitative and objective analysis facilitated by medical image informatics, CBIR, and CAD could lead to improved diagnosis by physicians. Whereas CAD has become a part of the clinical workflow in the detection of breast cancer with mammograms, it is not yet established in other applications. CBIR is an alternative and complementary approach for image retrieval based on measures derived from images, which could also facilitate CAD. This book shows how digital image processing techniques can assist in quantitative analysis of medical images, how pattern recognition and classification techniques can facilitate CAD, and how CAD systems can assist in achieving efficient diagnosis, in designing optimal treatment protocols, in analyzing the effects of or response to treatment, and in clinical management of various conditions. The book affirms that medical imaging, medical image analysis, medical image informatics, CBIR, and CAD are proven as well as essential techniques for health care.
Book Synopsis Artificial Intelligence in Dentistry by : Kaan Orhan
Download or read book Artificial Intelligence in Dentistry written by Kaan Orhan and published by Springer Nature. This book was released on 2024-02-11 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book focuses on various aspects of artificial intelligence in dentistry, assisting dentists, specialists, and scientists in advancing their understanding, knowledge, training, and expertise in this field of artificial intelligence. Readers will learn about AI-supported pathways for the diagnosis and treatment of dental caries, periodontal bone loss, impacted teeth, periapical lesions, crown, and root fractures, working length determination, and detecting root and canal morphology, TMJ disorders, detection of obstructive sleep apnea, oral mucosal lesions, and many more. Prediction tasks include the estimation of retreatment needs and third molar eruption. Critical information on applications of AI in the field of Oral and Maxillofacial Radiology, Implants, Endodontics, Prosthodontics, Restorative dentistry, Oral surgery, Periodontics, and Orthodontics. Gain valuable insight into studies applying machine learning based on Machine Learning (ML), Deep Learning (DL), and Artificial Neural Networks (ANN). Explore the technical aspects and medical applications of AI in dentistry. Additionally, discover cutting-edge topics like 3D and bioprinting applications of AI and its integration into dental education. All the chapters provide thorough, evidence-based data on AI and its implications in oral health, bridging the gap between knowledge and practical application. The book explains the advantages, disadvantages, and limitations of AI in dental health. Delve into the medico-legal aspects of AI to navigate this cutting-edge landscape responsibly. Learn about applications of Machine Learning and Artificial Intelligence in the Covid-19 Pandemic. Extensive information on deep learning in image processing, including various types of neural networks, image segmentation, enhancement, reconstruction, and registration. This book concludes with an exploration of AI's exciting potential and future perspectives in the dental field, paving the way for a new era of oral healthcare. Don't miss out on this unique resource for AI in Dentistry, which empowers you to stay at the forefront of innovation and embrace the AI revolution in Dentistry. Be prepared for the future of dentistry.
Book Synopsis Atlas of Oral Diagnostic Imaging by : Tomomitsu Higashi
Download or read book Atlas of Oral Diagnostic Imaging written by Tomomitsu Higashi and published by Ishiyaku EuroAmerica, Incorporated. This book was released on 1990 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Diagnostic Picture Tests in Dentistry by : Philip-John Lamey
Download or read book Diagnostic Picture Tests in Dentistry written by Philip-John Lamey and published by Mosby Elsevier Health Science. This book was released on 1989 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is part of a series of illustrated specialized problems aimed at undergraduates, postgraduates and sometimes paramedics and nurses. Questions (about 3 per photo) vary in difficulty, reflecting student needs.
Book Synopsis Intelligent Data Analysis by : Deepak Gupta
Download or read book Intelligent Data Analysis written by Deepak Gupta and published by John Wiley & Sons. This book was released on 2020-07-13 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.
Book Synopsis Deep Learning in Medical Image Analysis by : Gobert Lee
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.
Book Synopsis Twenty-First Century Imaging by : Keith Horner
Download or read book Twenty-First Century Imaging written by Keith Horner and published by Quintessenz Verlag. This book was released on 2019-09-03 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imaging is a key part of clinical practice. To maximise the potential benefit to their patients, dentists need to have an understanding of how imaging systems work. In the 21st century, we are faced with major technological developments in radiology, of which many dentists will be unfamiliar. This book aims to address these challenges by providing a comprehensive introduction to state-of-the-art dental imaging, in particular to the complexities of digital radiology and the advanced techniques available for cross-sectional imaging.
Book Synopsis 8th International Conference on Advancements of Medicine and Health Care Through Technology by : Simona Vlad
Download or read book 8th International Conference on Advancements of Medicine and Health Care Through Technology written by Simona Vlad and published by Springer Nature. This book was released on 2024-02-09 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of the 8th International Conference on Advancements of Medicine and Health Care through Technology, MEDITECH 2022, held virtually on 20–22 October 2022, from Cluj-Napoca, Romania. It reports on both theoretical and practical developments in biomedical imaging and image processing, health technology, technologies for education, and biomedical signal processing and medical devices, measurements and instrumentation. Both the conference and the realization of this book were supported by the Romanian National Society for Medical Engineering and Biological Technology (SNIMTB).
Book Synopsis Interpreting Dental Radiographs by : Keith Horner
Download or read book Interpreting Dental Radiographs written by Keith Horner and published by Quintessence Publishing Company Limited. This book was released on 2019-03-19 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: After clinical history-taking and examination, radiography is the "third way" of diagnosis, and dentists face the daily task of interpreting radiographic images to help in patient management. This book aims to give a comprehensive guide to reading x-ray images in dental practice and concentrates on intraoral radiographs. The text builds on a strong foundation of anatomical knowledge and is reinforced by the authors' experience of the radiological appearances that frequently challenge dentists.
Book Synopsis Radiographic Interpretation for the Dentist, An Issue of Dental Clinics of North America, E-Book by : Elsevier Clinics
Download or read book Radiographic Interpretation for the Dentist, An Issue of Dental Clinics of North America, E-Book written by Elsevier Clinics and published by Elsevier Health Sciences. This book was released on 2021-06-03 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of Dental Clinics focuses on Radiographic Interpretation for the Dentist and is edited by Dr. Mel Mupparapu. Articles will include: Fundamentals of Radiographic Interpretation for the Dentist; Radiology of Dental Caries; Radiographic Diagnosis of Periodontal Disease; Radiology in Endodontics; Imaging in Oral & Maxillofacial Surgery; Radiographic Interpretation in Oral Medicine and Hospital Dental Practice; Intraoral Scanning, Digital Dental Casts, Face Scans, and Cone Beam CT Integration for the Virtual Patient; Pathologic and Physiologic Calcifications of the Head and Neck Significant to the Dentist; Radiographic Diagnosis of Systemic Diseases Manifested in Jaws; Imaging in Prosthodontic Practice; Imaging in Orthodontics; Radiographic Diagnosis in the Pediatric Dental Patient; and more!
Book Synopsis Deep Learning for Medical Image Analysis by : S. Kevin Zhou
Download or read book Deep Learning for Medical Image Analysis written by S. Kevin Zhou and published by Academic Press. This book was released on 2023-12-01 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis. · Covers common research problems in medical image analysis and their challenges · Describes the latest deep learning methods and the theories behind approaches for medical image analysis · Teaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment · Includes a Foreword written by Nicholas Ayache
