A neural network based workstation for automated cell proliferation analysis

被引:0
|
作者
Cosío, FA [1 ]
Vega, L [1 ]
Becerra, AH [1 ]
Meléndez, RP [1 ]
Corkidi, G [1 ]
机构
[1] Univ Nacl Autonoma Mexico, Ctr Instrumentos, Mexico City 04510, DF, Mexico
来源
PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: BUILDING NEW BRIDGES AT THE FRONTIERS OF ENGINEERING AND MEDICINE | 2001年 / 23卷
关键词
automated object recognition; mitotic index; metaphase finder;
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
In this paper is reported the development of a neural network (NN) based workstation for automated cell proliferation analysis, of cytological microscope images. The software of the system assists the expert biotechnologist during cell proliferation and chromosome aberration studies by automatically identifying metaphase spreads and stimulated nuclei on each digital image. After manual edition of metaphase false positives, the system automatically calculates the mitotic index (MI) i.e. the ratio of metaphases to stimulated nuclei of a given tissue sample. The system reported has been able to classify correctly approximately 91% of the metaphases and stimulated nuclei, in a test set of 191 mitosis, 331 nuclei, and 387 artefacts, obtained from 30 different microscope slides. Manual edition of false positives from the metaphase classification results allows the calculation of the MI with an error of 6.5%.
引用
收藏
页码:2567 / 2570
页数:4
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