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Auto-Segmentation for Radiation Oncology

- State of the Art
Engelsk Paperback

Auto-Segmentation for Radiation Oncology

- State of the Art
Engelsk Paperback
Tjek vores konkurrenters priser

This book provides a comprehensive introduction to current state-of-the-art auto-segmentation approaches used in radiation oncology for auto-delineation of organs-of-risk for thoracic radiation treatment planning. Containing the latest, cutting edge technologies and treatments, it explores deep-learning methods, multi-atlas-based methods, and model-based methods that are currently being developed for clinical radiation oncology applications. Each chapter focuses on a specific aspect of algorithm choices and discusses the impact of the different algorithm modules to the algorithm performance as well as the implementation issues for clinical use (including data curation challenges and auto-contour evaluations).

This book is an ideal guide for radiation oncology centers looking to learn more about potential auto-segmentation tools for their clinic in addition to medical physicists commissioning auto-segmentation for clinical use.

Features:

  • Up-to-date with the latest technologies in the field
  • Edited by leading authorities in the area, with chapter contributions from subject area specialists
  • All approaches presented in this book are validated using a standard benchmark dataset established by the Thoracic Auto-segmentation Challenge held as an event of the 2017 Annual Meeting of American Association of Physicists in Medicine
Tjek vores konkurrenters priser
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Tjek vores konkurrenters priser

This book provides a comprehensive introduction to current state-of-the-art auto-segmentation approaches used in radiation oncology for auto-delineation of organs-of-risk for thoracic radiation treatment planning. Containing the latest, cutting edge technologies and treatments, it explores deep-learning methods, multi-atlas-based methods, and model-based methods that are currently being developed for clinical radiation oncology applications. Each chapter focuses on a specific aspect of algorithm choices and discusses the impact of the different algorithm modules to the algorithm performance as well as the implementation issues for clinical use (including data curation challenges and auto-contour evaluations).

This book is an ideal guide for radiation oncology centers looking to learn more about potential auto-segmentation tools for their clinic in addition to medical physicists commissioning auto-segmentation for clinical use.

Features:

  • Up-to-date with the latest technologies in the field
  • Edited by leading authorities in the area, with chapter contributions from subject area specialists
  • All approaches presented in this book are validated using a standard benchmark dataset established by the Thoracic Auto-segmentation Challenge held as an event of the 2017 Annual Meeting of American Association of Physicists in Medicine
Produktdetaljer
Sprog: Engelsk
Sider: 256
ISBN-13: 9780367761226
Indbinding: Paperback
Udgave:
ISBN-10: 036776122X
Kategori: Onkologi
Udg. Dato: 31 maj 2023
Længde: 15mm
Bredde: 252mm
Højde: 175mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 31 maj 2023
Forfatter(e):
Forfatter(e)


Kategori Onkologi


ISBN-13 9780367761226


Sprog Engelsk


Indbinding Paperback


Sider 256


Udgave


Længde 15mm


Bredde 252mm


Højde 175mm


Udg. Dato 31 maj 2023


Oplagsdato 31 maj 2023


Forlag Taylor & Francis Ltd

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