The method of dividing the region inside the medical picture includes the step which appraises the set of division of the candidacy which is formed from early division. It is better than early division, on the basis of the calculation of distance of each candidacy which uses derivation division, if is, best candidacy, is recommended to the clinician. As for this recommendation section, computer aided diagnostics after (namely lesion the division which classification) becomes the profit benignly/malignantly and quite stabilizes is actualized.医療画像内の部位を区分する方法は、初期の区分から生成された候補の区分のセットを評価するステップを含む。派生区分を用いた各候補の距離の計算に基づいて、初期の区分よりもよいならば、最良の候補が、臨床医に推奨される。この推奨部は、後のコンピュータ支援診断(すなわち病変を良性/悪性に分類)にも利益となる極めて安定した区分を実現する。