This pioneering book explores how machine learning and other AI techniques impact millions of cancer patients who benefit from ionizing radiation. It features contributions from global researchers and clinicians, focusing on the clinical applicati...Lasīt vairāk
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 t...Lasīt vairāk
Artificial Intelligence in Radiation Oncology and Biomedical Physics explores how modern machine learning and other AI techniques impact millions of global cancer patients. This pioneering book includes contributions from researchers and clinicians...Lasīt vairāk
This book explores outcome modeling in cancer from a data-centric perspective to enable a better understanding of complex treatment response, to guide the design of advanced clinical trials, and to aid personalized patient care and improve their q...Lasīt vairāk
This book explores outcome modeling in cancer from a data-centric perspective to enable a better understanding of complex treatment response, to guide the design of advanced clinical trials, and to aid personalized patient care and improve their q...Lasīt vairāk
Alphonse G. Taghian, Michele Y. Halyard, Charles R. Thomas
Sērija : Radiation Medicine Rounds
(Izdošanas datums: 17-Apr-2012, Hardback, Izdevniecība: Demos Medical Publishing, ISBN-13: 9781936287659)
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This volume provides a compilation of succinct and timely reviews on recent clinical advances and key clinical research related to the use of radiation medicine in the treatment of breast cancer. This volume provides a compilation of succinct...Lasīt vairāk
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Since the first conference in 1966, there has been an enormous change, qualitatively as well as quantitatively in the application of computers in the field of radiotherapy. The fast technical development has made applications possible that only a fe...Lasīt vairāk
