Semi-supervised tumor detection in magnetic resonance spectroscopic images using discriminative random fields

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

Volumn 4713 LNCS, Issue , 2007, Pages 224-233

  Gorlitz L ^a,b   Menze, B H ^b   Weber, M A ^c   Kelm, B M ^b   Hamprecht, F A ^b  

^a ROBERT BOSCH GMBH   (Germany)

^b UNIVERSITY OF HEIDELBERG   (Germany)

^c GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE CLASSIFICATION; MAGNETIC RESONANCE SPECTROSCOPY; PARAMETER ESTIMATION; RANDOM PROCESSES; TUMORS;

CLINICAL DATA; ITERATIVE PROCEDURE ALTERNATES;

MEDICAL IMAGING;

EID: 38149077418     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74936-3_23     Document Type: Conference Paper

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