Elaboration of Optimized Expert Knowledge Based Quantitative Features for Automatic Histological Image Evaluation

Algimantas Kriščiukaitis, Robertas Petrolis, Rima Ramonaitė, Rokas Pečiulis, Dainius Jančiauskas, Andrius Kiškis, Limas Kupčinskas

Abstract


Methodology of elaboration of optimized measure for automatic evaluation of certain pathology in histological images using digital parameters and involving experts’ knowledge is illustrated on colon tissue inflammation case. Variety in empiric image parameters, determined according existing scoring schemes representing the same clinical status groups, inspired elaboration of optimized continuous scale measure. The measure was verified using experts’ knowledge during double blind experiment.

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BIOMEDICAL ENGINEERING CONFERENCE ORGANIZING COMMITEE,

BIOMEDICAL ENGINEERING INSTITUTE,

KAUNAS UNIVERSITY OF TECHNOLOGY.