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Auto-Segmentation for Radiation Oncology: State of the Art (Series in Medical Physics and Biomedical Engineering) free ebook download

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Medicine

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Author(s):	Jinzhong Yang

Date:	2021	Format:	pdf	Language:	English	ISBN/ASIN:	0367336006
Pages:	256	OCR:		Quality:		ISBN13:
Uploader:	alex21s	Upload Date:	10/2/2021 11:24:32 PM

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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

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3038639	Book	https://nitro.download/view/BAF8E851BD0D...		0.00	alex21s

Tags: Biomedical Engineering Medical Oncology Physics Radiation State

Title	Link	Password	Size	Reason

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Auto-Segmentation for Radiation Oncology: State of the Art (Series in Medical Physics and Biomedical Engineering) free ebook download

Category: Medicine

Description: Click to see full description

Category:
Medicine