Machine Learning and Artificial Intelligence in Radiation Oncology - A Guide for Clinicians (Paperback)

Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians is designed for the application of practical concepts in machine learning to clinical radiation oncology. It addresses the existing void in a resource to educate practicing clinicians about how machine learning can be used to improve clinical and patient-centered outcomes. This book is divided into three sections: the first addresses fundamental concepts of machine learning and radiation oncology, detailing techniques applied in genomics; the second section discusses translational opportunities, such as in radiogenomics and autosegmentation; and the final section encompasses current clinical applications in clinical decision making, how to integrate AI into workflow, use cases, and cross-collaborations with industry. The book is a valuable resource for oncologists, radiologists and several members of biomedical field who need to learn more about machine learning as a support for radiation oncology.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	December 2023
First published:	2024
Editors:	Barry S. Rosenstein • Tim Rattay • John Kang
Dimensions:	234 x 191mm (L x W)
Format:	Paperback
Pages:	300
ISBN-13:	978-0-12-822000-9
Categories:	Books > Computing & IT > General Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > Radiotherapy Promotions
LSN:	0-12-822000-7
Barcode:	9780128220009

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!