Accurate and efficient linear structure segmentation by leveraging ad hoc features with learned filters

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

Volumn 7510 LNCS, Issue , 2012, Pages 189-197

  Rigamonti, Roberto ^a   Lepetit, Vincent ^a  

^a EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD VESSELS; LEARNING SYSTEMS; MEDICAL COMPUTING;

2D PROJECTIONS; CAPTURE IMAGES; COMPUTATIONAL COSTS; LINEAR STRUCTURES; MACHINE LEARNING TECHNIQUES; MEDICAL IMAGERY;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BLOOD VESSEL; COMPUTER PROGRAM; COMPUTER SIMULATION; DIAGNOSTIC IMAGING; HUMAN; IMAGE PROCESSING; METHODOLOGY; NERVE CELL; PATHOLOGY; REGRESSION ANALYSIS; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BLOOD VESSELS; COMPUTER SIMULATION; DIAGNOSTIC IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, STATISTICAL; NEURONS; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SOFTWARE;

MLCS; MLOWN;

EID: 84872519433     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33415-3_24     Document Type: Conference Paper

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