Modelling of magnetic resonance spectra using mixtures for binned and truncated data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4478 LNCS, Issue PART 2, 2007, Pages 266-273

  Garcia Gomez, Juan M ^a   Robles, Montserrat ^a   Van Huffel, Sabine ^b   Juan Ciscar, Alfons ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Automatic classification; Binned data; Brain tumour; Expectation maximization

Indexed keywords

BIOCHEMICAL ENGINEERING; BIOINFORMATICS; MAGNETIC RESONANCE SPECTROSCOPY; MATHEMATICAL MODELS; ORGANIC COMPOUNDS; PROBABILISTIC LOGICS;

AUTOMATIC CLASSIFICATION; BINNED DATA; BRAIN TUMOUR; EXPECTATION-MAXIMIZATION;

TISSUE ENGINEERING;

EID: 38049158334     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72849-8_34     Document Type: Conference Paper

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