Artificial neural networks as a method to improve the precision of subcutaneous adipose tissue thickness measurements by means of the optical device LIPOMETER

Computers in Biology and Medicine

Volumn 30, Issue 6, 2000, Pages 355-365

  Tafeit, Erwin ^a   Möller, Reinhard ^a   Sudi, Karl ^b   Reibnegger, Gilbert ^a  

^a Medizinisch chemischen Institut und Pregl Laboratorium der Universitat Graz   (Austria)

^b UNIVERSITY OF GRAZ   (Austria)

Author keywords

Artificial neural networks; Back propagation; LIPOMETER; Pattern recognition; Regression analysis; Subcutaneous adipose tissue thickness

Indexed keywords

ADIPOSE TISSUE; ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; DEVICE; FEMALE; HUMAN; HUMAN CELL; MALE; PRIORITY JOURNAL; REGRESSION ANALYSIS; SUBCUTANEOUS TISSUE;

ADULT; ALGORITHMS; FEMALE; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; OPTICS; REGRESSION ANALYSIS; SKINFOLD THICKNESS;

EID: 0342794228     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0010-4825(00)00011-1     Document Type: Article

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