Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11850)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): AIRT: Workshop on Artificial Intelligence in Radiation Therapy
Conference proceedings info: AIRT 2019.
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Table of contents (20 papers)
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Front Matter
About this book
This book constitutes the refereed proceedings of the First International Workshop on Connectomics in Artificial Intelligence in Radiation Therapy, AIRT 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.
The 20 full papers presented were carefully reviewed and selected from 24 submissions. The papers discuss the state of radiation therapy, the state of AI and related technologies, and hope to find a pathway to revolutionizing the field to ultimately improve cancer patient outcome and quality of life.
Keywords
Editors and Affiliations
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The University of Texas Southwestern Medical Center, Dallas, USA
Dan Nguyen, Steve Jiang
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Stanford University, Stanford, USA
Lei Xing
Bibliographic Information
Book Title: Artificial Intelligence in Radiation Therapy
Book Subtitle: First International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Editors: Dan Nguyen, Lei Xing, Steve Jiang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-32486-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-32485-8Published: 18 October 2019
eBook ISBN: 978-3-030-32486-5Published: 10 October 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 172
Number of Illustrations: 13 b/w illustrations, 74 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence, Health Informatics