Learning without labeling: Domain adaptation for ultrasound transducer localization

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

Volumn 8151 LNCS, Issue PART 3, 2013, Pages 49-56

  Heimann, Tobias ^a   Mountney, Peter ^b   John, Matthias ^a   Ionasec, Razvan ^b  

^a SIEMENS AG   (Germany)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC GENERATION; DISCRIMINATIVE LEARNING; FLUOROSCOPY IMAGES; INSTANCE WEIGHTING; LOCALIZATION ERRORS; ULTRASOUND TRANSDUCERS; VOLUMETRIC IMAGES; X-RAY FLUOROSCOPY; INVASIVE TREATMENT;

BIOMEDICAL EQUIPMENT; FLUORESCENT SCREENS; ULTRASONIC IMAGING; ULTRASONIC TRANSDUCERS; DISEASES; MEDICAL COMPUTING; TRANSDUCERS; ULTRASONIC APPLICATIONS;

TRANSDUCERS; MEDICAL IMAGING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ENDOSCOPIC ECHOGRAPHY; EQUIPMENT; FLUOROSCOPY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MULTIMODAL IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STAINING; TRANSDUCER;

ALGORITHMS; FLUOROSCOPY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MULTIMODAL IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STAINING AND LABELING; TRANSDUCERS; ULTRASONOGRAPHY, INTERVENTIONAL;

EID: 84894615221     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40760-4_7     Document Type: Conference Paper

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