Advances of radiomics and artificial intelligence in the management of patients with central nervous system tumors PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Advances of radiomics and artificial intelligence in the management of patients with central nervous system tumors PDF full book. Access full book title Advances of radiomics and artificial intelligence in the management of patients with central nervous system tumors by Xuejun Li. Download full books in PDF and EPUB format.
Author: Xuejun Li
Publisher: Frontiers Media SA
ISBN: 2832515517
Category : Medical
Languages : en
Pages : 116
Get Book Here
Book Description
Author: Xuejun Li
Publisher: Frontiers Media SA
ISBN: 2832515517
Category : Medical
Languages : en
Pages : 116
Get Book Here
Book Description
Author: Ruijiang Li
Publisher: CRC Press
ISBN: 1351208268
Category : Science
Languages : en
Pages : 484
Get Book Here
Book Description
Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains the fundamental principles, technical bases, and clinical applications with a focus on oncology. The book’s expert authors present computational approaches for extracting imaging features that help to detect and characterize disease tissues for improving diagnosis, prognosis, and evaluation of therapy response. This book is intended for audiences including imaging scientists, medical physicists, as well as medical professionals and specialists such as diagnostic radiologists, radiation oncologists, and medical oncologists. Features Provides a first complete overview of the technical underpinnings and clinical applications of radiomics and radiogenomics Shows how they are improving diagnostic and prognostic decisions with greater efficacy Discusses the image informatics, quantitative imaging, feature extraction, predictive modeling, software tools, and other key areas Covers applications in oncology and beyond, covering all major disease sites in separate chapters Includes an introduction to basic principles and discussion of emerging research directions with a roadmap to clinical translation
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: Hassan Mohy-ud-Din
Publisher: Springer Nature
ISBN: 3030401243
Category : Computers
Languages : en
Pages : 100
Get Book Here
Book Description
This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, which was held in conjunction with MICCAI in Shenzhen, China, in October 2019. The 10 full papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the development of tools that can automate the analysis and synthesis of neuro-oncologic imaging.
Author: Peter Fecci
Publisher: Frontiers Media SA
ISBN: 2832506720
Category : Medical
Languages : en
Pages : 150
Get Book Here
Book Description
Author: Sheng Zhong
Publisher: Frontiers Media SA
ISBN: 283254617X
Category : Science
Languages : en
Pages : 174
Get Book Here
Book Description
Central nervous system (CNS) tumors are the eighth leading cause of cancer death and the second most common childhood cancer worldwide. Current treatment methods include surgery, radiation therapy, chemotherapy, targeted therapy, immune therapy etc. However, patients with CNS tumors usually have an unsatisfactory prognosis accompanied by impaired neurologic functions when compared with other cancers. Few drugs or treatments have been proven effective in CNS tumors due to the presence of blood-brain barriers and its distinctive tumor microenvironment.
Author: Dario de Biase
Publisher: Frontiers Media SA
ISBN: 2832524605
Category : Medical
Languages : en
Pages : 319
Get Book Here
Book Description
Author: Nico Sollmann
Publisher: Frontiers Media SA
ISBN: 2832508359
Category : Science
Languages : en
Pages : 626
Get Book Here
Book Description
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: Xuelei Ma
Publisher: Frontiers Media SA
ISBN: 2889713474
Category : Medical
Languages : en
Pages : 355
Get Book Here
Book Description
