Author: Vincent Andrearczyk
Publisher: Springer Nature
ISBN: 3030671941
Category : Computers
Languages : en
Pages : 119
Get Book Here
Book Description
This book constitutes the First 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 pandemic. The 2 full and 8 short papers presented together with an overview paper in this volume were carefully reviewed and selected form numerous submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 204 delineated PET/CT images was made available for training as well as 53 PET/CT images for testing. Various deep learning methods were developed by the participants with excellent results.
Author: Issam El Naqa
Publisher: Springer
ISBN: 3319183052
Category : Medical
Languages : en
Pages : 336
Get Book Here
Book Description
This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.
Author: Dimitris Metaxas
Publisher: Springer
ISBN: 354085990X
Category : Computers
Languages : en
Pages : 1161
Get Book Here
Book Description
The 11th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2008, was held at the Helen and Martin Kimmel Center of New York University, New York City, USA on September 6–10, 2008. MICCAI is the premier international conference in this domain, with - depth papers on the multidisciplinary ?elds of biomedical image computing and analysis, computer assisted intervention and medical robotics. The conference brings together biological scientists, clinicians, computer scientists, engineers, mathematicians, physicists and other interested researchers and o?ers them a forum to exchange ideas in these exciting and rapidly growing ?elds. The conference is both very selective and very attractive: this year we - ceived a record number of 700 submissions from 34 countries and 6 continents, fromwhich258papers were selectedfor publication,whichcorrespondsto a s- cess rate of approximately 36%. Some interesting facts about the distribution of submitted and accepted papers are shown graphically at the end of this preface. The paper selection process this year was based on the following procedure, which included the introduction of several novelties over previous years. 1. A ProgramCommittee (PC) of 49 members was recruited by the Program Chairs,to getthenecessarybody ofexpertiseandgeographicalcoverage.All PC members agreed in advance to participate in the ?nal paper selection process. 2. Key words grouped in 7 categories were used to describe the content of the submissions and the expertise of the reviewers.
Author: Ahmed Abdel Khalek Abdel Razek
Publisher: Elsevier Health Sciences
ISBN: 0323835678
Category : Medical
Languages : en
Pages : 233
Get Book Here
Book Description
In this issue of MRI Clinics, guest editor Dr. Ahmed Abdel Khalek Abdel Razek brings his considerable expertise to the topic of MR Imaging of Head and Neck Cancer. Top experts in the field cover key topics such as artificial intelligence and deep learning of head and neck cancer, MR imaging of salivary gland tumors, MR imaging of vascular malformations and tumors of the head and neck, and more. - Contains 14 relevant, practice-oriented topics including the role of MR imaging in head and neck squamous cell carcinoma; MR imaging of nasopharyngeal carcinoma; MR imaging of oropharyngeal cancer and oral cavity tumors; MR imaging of laryngeal and hypopharyngeal cancer; MR imaging of nasal and paranasal sinuses tumors; and more. - Provides in-depth clinical reviews on MR imaging of head and neck cancer, offering actionable insights for clinical practice. - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
Author: Antonio Napolitano
Publisher: Frontiers Media SA
ISBN: 2889767191
Category : Medical
Languages : en
Pages : 322
Get Book Here
Book Description
Author: Erik R. Ranschaert
Publisher: Springer
ISBN: 3319948784
Category : Medical
Languages : en
Pages : 369
Get Book Here
Book Description
This 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.
Author: Praveen Gulati
Publisher: Elsevier Health Sciences
ISBN: 8131263584
Category : Medical
Languages : en
Pages : 2319
Get Book Here
Book Description
Comprehensive Textbook of Clinical Radiology is a fully integrated illustrated textbook of radiology to cater for residents and practising radiologists. It is a one-stop solution for all academic needs in radiology. It helps radiologists as a single reference book to gain complete knowledge instead of referring to multiple resources. More than 500 authors, recognized experts in their subspeciality, have contributed to this book. To meet the expectations of clinical radiologists, thorough clinical expertise and familiarity with all the imaging modalities appropriate to address their clinical questions are necessary, regardless of one's favoured subspeciality. To keep the content relevant to them, we have tried to stay upgraded to their level. This book comprises six volumes, which gives information on Radiological Anatomy, Embryology, Nomogram, Normal Variants, Physics, Imaging Techniques, and all the aspects of Diagnostic Radiology including Neuroradiology, Head and Neck, Chest and CVS, Abdomen, Obstetrics and Gynaecology, Breast, Musculoskeletal and Multisystem Disorders & related Interventional techniques. It will serve as a primary reference for residents and subspeciality trainees and fellows to facilitate their learning in preparation for their examination, and also the consultant radiologists in their daily clinical practice.This volume is subdivided into three sections. Section 1 covers the principles of clinical radiology and deals with basic to advanced aspects of general radiology. The physics of each imaging modality is described in detail for radiology residents. Principles of pathology, genetics and statistics important for radiologists from research point of view are enumerated. Basic principles of medicine including management of contrast reactions, basic and advanced life support which are important for radiologists in day to day practice are dealt in dedicated chapter. Section 2 covers the multisystem disorders that affect multiple body systems either at the same time or over a period of time. Imaging plays a vital role in identifying the extent of systems involved and also in diagnosis by recognising the pattern of systems involved. The last part of the section deals with the general principles of oncoimaging dealing with multisystem involvement and facilitates easier understanding of this complex subject. The format is ideal for both in-depth knowledge and daily reference. Section 3 covers head and neck imaging, anatomy of neck, techniques of imaging and paediatric neck. In addition, all neck spaces and lymph nodes are discussed with anatomy and pathology with high-quality images and line diagrams. Orbits, temporal bone, sinuses and skull base are included with discussion on imaging anatomy, variants and pathologies. Cancer imaging, PETCT and post-operative imaging are fully discussed along with TNM imaging. Unique chapters on Sleep apnea, Emergency Radiology, Dental imaging, Superficial and trans-spatial lesions and Imaging of all cranial nerves are included.
Author: X. Allen Li
Publisher: CRC Press
ISBN: 1439816352
Category : Medical
Languages : en
Pages : 404
Get Book Here
Book Description
Modern medical imaging and radiation therapy technologies are so complex and computer driven that it is difficult for physicians and technologists to know exactly what is happening at the point-of-care. Medical physicists responsible for filling this gap in knowledge must stay abreast of the latest advances at the intersection of medical imaging an
Author: Le Lu
Publisher: Springer
ISBN: 331942999X
Category : Computers
Languages : en
Pages : 327
Get Book Here
Book Description
This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.
Author: S. Kevin Zhou
Publisher: Academic Press
ISBN: 0323858880
Category : Computers
Languages : en
Pages : 544
Get Book Here
Book Description
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
