8-5 Gバンド分染法によるカリオタイプの輝度プロファイルを用いたパターン認識 : 輝度プロファイルによる染色体画像のパターン認識(第8部門ヒューマンインフォメーション)

概要

論文の詳細を見る
Chromosome analysis is one of useful crews to diagnose diseases and has been carried out manually by specialists. The specialists are therefore required expert skills and rich experience after a long period training, causing the shortage of the number of such specialists. Chromosome analysis with using the pattern recognition techniques can be a great aid to solve the problem of this shortage. Previous systems of digital image analysis by pattern matching methods can operate only limited processes automatically because chromosome images have a lot of variable image properties to identify, such as a size, linearity and color stained. It is well known that G-band pattern of each chromosome in karyotype is unique and key to find whether normal or not. In this study, we therefore propose an algorism to compare a luminance profile of the G-band pattern of a chromosome image and of the ISCN ideogram of each chromosome.
一般社団法人映像情報メディア学会の論文
2013-08-28