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Image Processing, Computer Vision, Pattern Recognition, and Graphics

Artificial Intelligence in Radiation Therapy

First International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

Editors: Nguyen, Dan, Xing, Lei, Jiang, Steve (Eds.)

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eBook $44.99
price for USA in USD (gross)
  • ISBN 978-3-030-32486-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week).
  • Due: December 2, 2019
  • ISBN 978-3-030-32485-8
  • Free shipping for individuals worldwide
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.

Table of contents (20 chapters)

Table of contents (20 chapters)
  • Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy

    Pages 1-9

    Sadeghnejad Barkousaraie, Azar (et al.)

  • Feasibility of CT-Only 3D Dose Prediction for VMAT Prostate Plans Using Deep Learning

    Pages 10-17

    Willems, Siri (et al.)

  • Automatically Tracking and Detecting Significant Nodal Mass Shrinkage During Head-and-Neck Radiation Treatment Using Image Saliency

    Pages 18-25

    Hu, Yu-chi (et al.)

  • 4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network

    Pages 26-33

    Lei, Yang (et al.)

  • Toward Markerless Image-Guided Radiotherapy Using Deep Learning for Prostate Cancer

    Pages 34-42

    Zhao, Wei (et al.)

Buy this book

eBook $44.99
price for USA in USD (gross)
  • ISBN 978-3-030-32486-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week).
  • Due: December 2, 2019
  • ISBN 978-3-030-32485-8
  • Free shipping for individuals worldwide
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Bibliographic Information

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
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
11850
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-32486-5
DOI
10.1007/978-3-030-32486-5
Softcover ISBN
978-3-030-32485-8
Edition Number
1
Number of Pages
XI, 172
Number of Illustrations
13 b/w illustrations, 74 illustrations in colour
Topics