Abnormity detection used for medical samples under various kinds of setting

Various kinds of imaging modes are used in the whole slicing image screening and can be used for reducing false positive results potentially. In order to use various kinds of imaging modes, an abnormity detection process is used for a method of abnormity positioning in medical samples from images of the medical samples. The abnormity detection process comprises that multiple basic classifiers areindependently used for carrying out classification on interested objects which are suspected to be abnormal. Each basic classifier extracts characteristics of the interested objects and generates indications according to the extracted characteristics. The interested objects are scores of abnormity possibility. The abnormity detection process further comprises that a set classifier is used for combining scores generated through the basic classifiers so as to determine whether the interested objects are abnormal. The set classifier determines the dependency measurement of each basic classifier according to set setting v