Diagnosis Improvement Of Medical Images By Combination Of Computer Measurements And Visual Judgements
J. P. J. de Valk, E. G. J. Eijkman · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1982
Medical images, especially those composed artificially by computer reconstruction, may contain more information than the human eye can perceive. Despite the fact that humans are excellent visual pattern recognizers, additional information extracted by computation may en-hance diagnosis capability. This study compares visual judgements of gamma camera images and shows that classification improvement can be obtained if human judgements and statistical output are combined. ROC analysis accounts for quality assessment of human judgements. For a particular set of grey level cooccurrence measures a Fisher linear discriminant is calculated. After comparing performance of judgements and discriminant figures another Fisher discriminant is composed of both human judgements and statistical measures, showing the possibility of thus reducing the number of false diagnoses.