Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields

Linus Görlitz; Bjoern Menze; Marc‐An﻿dré Weber; B. Michael Kelm; Fred A. Hamprecht

doi:10.1007/978-3-540-74936-3_23

Keywords

Discriminative modelArtificial intelligencePattern recognition (psychology)Kernel (algebra)Random fieldComputer scienceEnergy (signal processing)Set (abstract data type)Spectral lineSpectrum (functional analysis)MathematicsPhysicsStatistics

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Publication Info

Year: 2007
Type: book-chapter
Pages: 224-233
Citations: 25
Access: Closed

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APA Style

                            
                                    Linus Görlitz, 
                                
                                    Bjoern Menze, 
                                
                                    Marc‐An﻿dré Weber
                                
                                et al.
                            
                            (2007). 
                            Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields. 
                            Lecture notes in computer science
                            
                            , 224-233.
                            https://doi.org/10.1007/978-3-540-74936-3_23

Identifiers

DOI: 10.1007/978-3-540-74936-3_23