Image-Guided Radiotherapy with Machine Learning

Oct 9, 2016 by in ONCOLOGY Comments Off on Image-Guided Radiotherapy with Machine Learning

Fig. 9.1 Illustration of image-guided radiotherapy. Red contours indicate the prostates Many methods have been proposed to address this paramount yet compelling segmentation problem. For example, Freedman et al. [10]…

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Machine Learning Methodology

Oct 9, 2016 by in ONCOLOGY Comments Off on Machine Learning Methodology

(3.1) where UΣV T is the singular value decomposition of X. This is equivalent to transformation into a new coordinate system such that the greatest variance by any projection of…

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Application of Machine Learning for Multicenter Learning

Oct 9, 2016 by in ONCOLOGY Comments Off on Application of Machine Learning for Multicenter Learning

Fig. 6.1 Visual representation of the sample ontology Table 6.1 RDF representation of a patient based on the ontology of Fig. 6.1 Subject Predicate Object mySet:patient1001 rdf:type ncit:C16960 mySet:patient1001 myOntology:hasFirstName…

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Classification of Malignant and Benign Tumors

Oct 9, 2016 by in ONCOLOGY Comments Off on Classification of Malignant and Benign Tumors

(8.1) where f(u, v) is a function determined using a machine learning approach, which we choose to be support vector machine (SVM) learning [26], and ζ is the modeling error. The…

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Performance Evaluation in Machine Learning

Oct 9, 2016 by in ONCOLOGY Comments Off on Performance Evaluation in Machine Learning

Fig. 4.1 The main steps of evaluation Comparison of a new algorithm to other (may be generic or application-specific) classifiers on a specific domain (e.g., when proposing a novel learning…

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Treatment Planning Validation

Oct 9, 2016 by in ONCOLOGY Comments Off on Treatment Planning Validation

(14.1) where C j is the j -th cluster, μ j is the center of the j -th cluster, and D stands for the distance between the two points. Each…

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