De-enhancing the dynamic contrast-enhanced breast MRI for robust registration

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

Volumn 4791 LNCS, Issue PART 1, 2007, Pages 933-941

  Zheng, Yuanjie ^a,b   Yu, Jingyi ^b   Kambhamettu, Chandra ^b   Englander, Sarah ^a   Schnall, Mitchell D ^a   Shen, Dinggang ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b University of Delaware   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MARKOV PROCESSES; OPTIMIZATION; PROBLEM SOLVING;

MARKOV RANDOM FIELD; OPTIMIZATION ALGORITHM; REGISTRATION ALGORITHM;

IMAGE REGISTRATION;

CONTRAST MEDIUM;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BREAST; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST; BREAST NEOPLASMS; CONTRAST MEDIA; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 79551687077     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_113     Document Type: Conference Paper

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