A study on The Feature Extraction and Recognition in Automated Cytodiagnosis

세포진 자동화에 있어서의 특징추출 및 인식에 관한 연구(II)

Nowadays, the amounts of cells and tissues in the field of pathology is being increased rapidly due to the increasing number of peoples and growing medical well fares. But, unfortunately the number of professional pathologist is not enough to deal with the great inspection amounts and there are several difficult problems in processing the inspections with naked eyes. To process a lot of inspections rapidly and solve difficults in inspections, the need of the inspection automation come appears. With this study the primarily cells and tissues can be sorted using image processing technics. As a result, the normal cells are separated from the abnormal cells and the abnormal cells can be distinguished through screening of abnormal cell's image with reference data to judge abnormal cells. Owing to this study the number of inspections which the pathologists should examine will be decreased and the time for inspection will be shortened.