Improving the contrast of breast cancer masses in ultrasound using an autoregressive model based filter

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 153-160

  Von Lavante, Etienne ^a   Noble, J Alison ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; IMAGE SEGMENTATION; PROBLEM SOLVING; TISSUE; ULTRASONICS;

AUTOREGRESSIVE MODEL; BREAST CANCER;

ONCOLOGY;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; ECHOMAMMOGRAPHY; FEMALE; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL;

ALGORITHMS; BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; ULTRASONOGRAPHY, MAMMARY;

EID: 38149049173     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_19     Document Type: Conference Paper

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