Towards tracking breast cancer across medical images using subject-specific biomechanical models

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 651-658

  Rajagopal, Vijay ^a   Lee, Angela ^a   Chung, Jae Hoon ^a   Warren, Ruth ^b   Highnam, Ralph P ^c   Nielsen, Poul M F ^a   Nash, Martyn P ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b ADDENBROOKE S HOSPITAL   (United Kingdom)

^c Highnam Associates Limited   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; FINITE ELEMENT METHOD; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; TISSUE;

BIOMECHANICAL MODELS; BREAST CANCER DETECTION; BREAST DEFORMATION;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BIOMECHANICS; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; FEMALE; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMECHANICS; BREAST NEOPLASMS; COMPUTER SIMULATION; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 82755198119     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_79     Document Type: Conference Paper

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