Genitourinary System Tumors

Oct 9, 2016 by in ONCOLOGY Comments Off on Genitourinary System Tumors

Fig. 14.1 Triple immunostain cocktail of a prostate biopsy. In the definitely benign prostate acini (top), a layer of basal cells is stained brown, representing reactivity for cytokeratin 34βE12, a…

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Coding and Reimbursement

Oct 9, 2016 by in ONCOLOGY Comments Off on Coding and Reimbursement

Fig 21.1 Successful reimbursement depends on accurate coding of the service, insurance coverage of the service, and adequate pricing of the service The standard for coding medical services in the…

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Thyroid and Parathyroid Tumors

Oct 9, 2016 by in ONCOLOGY Comments Off on Thyroid and Parathyroid Tumors

Tumor type Prevalence (%) Papillary carcinoma  BRAF 40–45  RET/PTC 10–20  RAS 10–20  TRK <5 Follicular carcinoma  RAS 40–50  PAX8-PPARγ (PAX8-PPARG) 30–35  PIK3CA <10  PTEN <10 Poorly differentiated carcinoma  RAS 20–40…

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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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