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Author: Tanveer Syeda-Mahmood
Publisher: Springer Nature
ISBN: 3030609464
Category : Computers
Languages : en
Pages : 147
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Book Description
This book constitutes the refereed joint proceedings of the 10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. The 4 full papers presented at ML-CDS 2020 and the 9 full papers presented at CLIP 2020 were carefully reviewed and selected from numerous submissions to ML-CDS and 10 submissions to CLIP. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.
Author: Tanveer Syeda-Mahmood
Publisher: Springer Nature
ISBN: 3030609464
Category : Computers
Languages : en
Pages : 147
Get Book Here
Book Description
This book constitutes the refereed joint proceedings of the 10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. The 4 full papers presented at ML-CDS 2020 and the 9 full papers presented at CLIP 2020 were carefully reviewed and selected from numerous submissions to ML-CDS and 10 submissions to CLIP. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.
Author: Klaus Drechsler
Publisher: Springer Nature
ISBN: 3031730836
Category :
Languages : en
Pages : 104
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Book Description
Author: Tanveer Syeda-Mahmood
Publisher: Springer Nature
ISBN: 3030898474
Category : Computers
Languages : en
Pages : 125
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Book Description
This book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic. The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.
Author: Moi Hoon Yap
Publisher: Springer Nature
ISBN: 303166955X
Category : Diagnostic imaging
Languages : en
Pages : 436
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Book Description
Zusammenfassung: This two-volume set LNCS 14859-14860 constitutes the proceedings of the 28th Annual Conference on Medical Image Understanding and Analysis, MIUA 2024, held in Manchester, UK, during July 24-26, 2024. The 59 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: Part I : Advancement in Brain Imaging; Medical Images and Computational Models; and Digital Pathology, Histology and Microscopic Imaging. Part II : Dental and Bone Imaging; Enhancing Low-Quality Medical Images; Domain Adaptation and Generalisation; and Dermatology, Cardiac Imaging and Other Medical Imaging
Author: Mayuri Mehta
Publisher: CRC Press
ISBN: 1000477762
Category : Computers
Languages : en
Pages : 363
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Book Description
Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals. The editors connect four contemporary areas of research rarely brought together in one book: artificial intelligence, big data analytics, knowledge modelling, and healthcare. They present state-of-the-art research from the healthcare sector, including research on medical imaging, healthcare analysis, and the applications of artificial intelligence in drug discovery. This book is intended for data scientists, academicians, and industry professionals in the healthcare sector.
Author: Ngoc Thanh Nguyen
Publisher: Springer Nature
ISBN: 303136886X
Category : Computers
Languages : en
Pages : 414
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Book Description
This book constitutes the refereed proceedings of the 12th Conference on Information Technology and its Applications, CITA 2023, taking place on July 28-29, 2023 in Da Nang City, the most beautiful and livable city in Vietnam. CITA is an annual scientific conference on information technology and its applications in all fields. The main objective of the conference is to create a forum to gather and connect Vietnamese and international researchers, scientists in the fields of information technology and its applications. The book includes 33 papers, selected from 144 papers submitted to CITA 2023 whose authors come from over 20 countries around the world, which were carefully reviewed by at least two members of the Program Committee, with professional advice from reputable scientists in the field of information technology and technology, digital economy such as Prof. Dr.Sc. Ngoc-Thanh Nguyen (Poland), Prof. Dr. Dosam Hwang (Korea), Assoc. Prof. Dr. Le Minh Hoa (UK), and Prof.Dr. Nguyen Thanh Thuy (Vietnam). The acceptance rate of CITA 2023 is about 24%. The papers in the book are organized in the following topical sections: Data Science and Artificial Intelligence; Image and Natural Language Processing; Software Engineering and Information Systems; Network and Communications; and Digital Economy. The accepted and presented papers focus on new trends and challenges facing the information and communication technology as well as digital economy community. If you are scientists, lecturers, doctoral students, we hope that you will find many useful and good quality results from the book for your future research.
Author: Yingmin Jia
Publisher: Springer Nature
ISBN: 9819786584
Category :
Languages : en
Pages : 720
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Book Description
Author: Roumen Kountchev (Deceased)
Publisher: Springer Nature
ISBN: 981972144X
Category :
Languages : en
Pages : 398
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Book Description
Author: Lei Xing
Publisher: Academic Press
ISBN: 0128212586
Category : Medical
Languages : en
Pages : 570
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Book Description
Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. - Provides history and overview of artificial intelligence, as narrated by pioneers in the field - Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence - Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach
Author: Sinha, Amit
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 512
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Book Description
The constantly evolving healthcare industry has experienced tremendous technological advancements that have significantly revolutionized medical imaging. However, with the increasing volume and complexity of medical image data, existing analysis methods must also be updated to be efficient and accurate. This is where the challenge lies—a need for a comprehensive solution that bridges the gap between cutting-edge technology and effective healthcare delivery. Computer-Assisted Analysis for Digital Medicinal Imagery offers a roadmap for navigating the intricate landscape of digital medicinal imagery analysis. Unlocking the power of machine learning and breaking down the basics provides researchers, clinicians, and students with the tools necessary to harness technology and improve healthcare outcomes.
