Lateral exploration strategy for differentiating the stiffness ratio of an inclusion in soft tissue

Medical Engineering and Physics

Volumn 30, Issue 8, 2008, Pages 1013-1019

  Yen, Ping Lang ^a   Chen, Dar Ren ^b   Yeh, Kun Tu ^b   Chu, Pei Yi ^b  

^a NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b CHANGHUA CHRISTIAN HOSPITAL   (Taiwan)

Author keywords

Breast cancer diagnosis; Inverse model; Lateral exploration; Neural network; Tissue elasticity; Tissue mechanics

Indexed keywords

BIOMECHANICS; KETONES; NEURAL NETWORKS; TUMORS;

ARTIFICIAL NEURAL NETWORK; BIOMECHANICAL MODELLING; BREAST CANCER DIAGNOSIS; CRITICAL INFORMATION; EXPLORATION STRATEGIES; EXTERNAL EXCITATIONS; INCLUSION PROPERTIES; INDENTATION METHOD; INVERSE MODEL; LATERAL EXPLORATION; MALIGNANT TUMORS; NEURAL NETWORK; SOFT TISSUES; STIFFNESS RATIO; TISSUE ELASTICITY; TISSUE MECHANICS; TISSUE STIFFNESS; TUMOR CLASSIFICATION;

STIFFNESS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOMECHANICS; CELL INCLUSION; DIAGNOSTIC ACCURACY; ELASTICITY; LATERAL EXPLORATION STRATEGY; PERMEABILITY; PRIORITY JOURNAL; RIGIDITY; SOFT TISSUE; TISSUE STRUCTURE; TUMOR CLASSIFICATION;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; ELASTICITY; HARDNESS; HUMANS; MODELS, BIOLOGICAL; PALPATION; SOFT TISSUE NEOPLASMS; STRESS, MECHANICAL;

EID: 53049104553     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2008.04.002     Document Type: Article

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