By Issam El Naqa, Ruijiang Li, Martin J. Murphy
This ebook offers an entire evaluate of the position of computing device studying in radiation oncology and clinical physics, overlaying simple idea, equipment, and quite a few functions in scientific physics and radiotherapy. An introductory part explains computer studying, studies supervised and unsupervised studying tools, discusses functionality overview, and summarizes strength functions in radiation oncology. certain person sections are then dedicated to using laptop studying in caliber insurance; computer-aided detection, together with remedy making plans and contouring; image-guided radiotherapy; breathing movement administration; and therapy reaction modeling and consequence prediction. The publication may be priceless for college students and citizens in clinical physics and radiation oncology and also will attract more matured practitioners and researchers and participants of utilized laptop studying communities.
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Additional resources for Machine Learning in Radiation Oncology: Theory and Applications
Grouping data points into clusters is useful in several ways. First, it can provide intuitive and succinct representation of the nature of data prior to major investigation. Secondly, clustering can be applied to compressing complex data distribution into a group of vectors corresponding to cluster centroids (vector quantization). 3 Machine Learning Methodology 25 The K-means clustering is one of the most popular clustering methods. It begins with randomized partitions with the given number (K) of clusters.
A nomogram to predict radiation pneumonitis, derived from a combined analysis of rtog 9311 and institutional data. Int J Radiat Oncol Biol Phys. 2007;69(4):985–92. 6. Random forests. Mach Learn. 2001;45(1):5–32. Investigation of the support vector machine algorithm to predict lung radiation-induced pneumonitis. Med Phys. 2007;34(10):3808–14. 38 S. Lee and I. El Naqa 8. Using patient data similarities to predict radiation pneumonitis via a self-organizing map. Phys Med Biol. 2008;53(1):203. 9.
Dose- volume response analyses of late rectal bleeding after radiotherapy for prostate cancer. Int J Radiat Oncol Biol Phys. 2004;59(2):353–65. 50. Statistical learning theory. New York: Wiley; 1998. Regression methods in biostatistics: linear, logistic, survival, and repeated measures models. New York: Springer; 2006. 4 Performance Evaluation in Machine Learning Nathalie Japkowicz and Mohak Shah Abstract Performance evaluation is an important aspect of the machine learning process. However, it is a complex task.