Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386764416> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W4386764416 endingPage "85" @default.
- W4386764416 startingPage "69" @default.
- W4386764416 abstract "Radiomics analysis represents the extraction of quantitative textural data from medical images by mathematically obtaining a series of values representing signal intensities or a variety of pixel inter-relationship metrics. The radiomics analysis pipeline consists of a series of steps that include segmentation, exploratory data analysis, feature selection, and predictive model construction. All these steps can be performed with the use of machine learning techniques. Understanding of these techniques is important to comprehend radiomics manuscripts and to practically apply radiomics analysis in research projects. The aim of this chapter is to provide an overview with basic explanations of machine learning algorithms most encountered in radiomics manuscripts." @default.
- W4386764416 created "2023-09-16" @default.
- W4386764416 creator A5058973104 @default.
- W4386764416 creator A5078341846 @default.
- W4386764416 date "2023-01-01" @default.
- W4386764416 modified "2023-09-27" @default.
- W4386764416 title "Machine Learning Methods for Radiomics Analysis: Algorithms Made Easy" @default.
- W4386764416 cites W1988790447 @default.
- W4386764416 cites W2039514112 @default.
- W4386764416 cites W2044863747 @default.
- W4386764416 cites W2102605133 @default.
- W4386764416 cites W2125310307 @default.
- W4386764416 cites W2131987814 @default.
- W4386764416 cites W2140736261 @default.
- W4386764416 cites W2142827986 @default.
- W4386764416 cites W2143426320 @default.
- W4386764416 cites W2156332695 @default.
- W4386764416 cites W2156665896 @default.
- W4386764416 cites W2165533158 @default.
- W4386764416 cites W2174661749 @default.
- W4386764416 cites W2406250479 @default.
- W4386764416 cites W2763355946 @default.
- W4386764416 cites W2766438525 @default.
- W4386764416 cites W2801707406 @default.
- W4386764416 cites W2887568436 @default.
- W4386764416 cites W2950985821 @default.
- W4386764416 cites W2963150697 @default.
- W4386764416 cites W3021197281 @default.
- W4386764416 cites W3022680805 @default.
- W4386764416 cites W3048802680 @default.
- W4386764416 cites W3119703860 @default.
- W4386764416 cites W3177681144 @default.
- W4386764416 cites W3201634814 @default.
- W4386764416 cites W3206754190 @default.
- W4386764416 cites W4224301097 @default.
- W4386764416 doi "https://doi.org/10.1007/978-3-031-25928-9_4" @default.
- W4386764416 hasPublicationYear "2023" @default.
- W4386764416 type Work @default.
- W4386764416 citedByCount "0" @default.
- W4386764416 crossrefType "book-chapter" @default.
- W4386764416 hasAuthorship W4386764416A5058973104 @default.
- W4386764416 hasAuthorship W4386764416A5078341846 @default.
- W4386764416 hasConcept C11413529 @default.
- W4386764416 hasConcept C119857082 @default.
- W4386764416 hasConcept C124101348 @default.
- W4386764416 hasConcept C136197465 @default.
- W4386764416 hasConcept C148483581 @default.
- W4386764416 hasConcept C153180895 @default.
- W4386764416 hasConcept C154945302 @default.
- W4386764416 hasConcept C199360897 @default.
- W4386764416 hasConcept C2778559731 @default.
- W4386764416 hasConcept C41008148 @default.
- W4386764416 hasConcept C43521106 @default.
- W4386764416 hasConcept C52622490 @default.
- W4386764416 hasConcept C89600930 @default.
- W4386764416 hasConceptScore W4386764416C11413529 @default.
- W4386764416 hasConceptScore W4386764416C119857082 @default.
- W4386764416 hasConceptScore W4386764416C124101348 @default.
- W4386764416 hasConceptScore W4386764416C136197465 @default.
- W4386764416 hasConceptScore W4386764416C148483581 @default.
- W4386764416 hasConceptScore W4386764416C153180895 @default.
- W4386764416 hasConceptScore W4386764416C154945302 @default.
- W4386764416 hasConceptScore W4386764416C199360897 @default.
- W4386764416 hasConceptScore W4386764416C2778559731 @default.
- W4386764416 hasConceptScore W4386764416C41008148 @default.
- W4386764416 hasConceptScore W4386764416C43521106 @default.
- W4386764416 hasConceptScore W4386764416C52622490 @default.
- W4386764416 hasConceptScore W4386764416C89600930 @default.
- W4386764416 hasLocation W43867644161 @default.
- W4386764416 hasOpenAccess W4386764416 @default.
- W4386764416 hasPrimaryLocation W43867644161 @default.
- W4386764416 hasRelatedWork W1964120219 @default.
- W4386764416 hasRelatedWork W2000165426 @default.
- W4386764416 hasRelatedWork W2114557664 @default.
- W4386764416 hasRelatedWork W2144059113 @default.
- W4386764416 hasRelatedWork W2146076056 @default.
- W4386764416 hasRelatedWork W2385132419 @default.
- W4386764416 hasRelatedWork W2772780115 @default.
- W4386764416 hasRelatedWork W2811390910 @default.
- W4386764416 hasRelatedWork W3003836766 @default.
- W4386764416 hasRelatedWork W2345184372 @default.
- W4386764416 isParatext "false" @default.
- W4386764416 isRetracted "false" @default.
- W4386764416 workType "book-chapter" @default.