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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Arambula Cosio, F. Vega, L. Herrera Becerra, A. Prieto Melendez, R. Corkidi, G. |
| Copyright Year | 2001 |
| Description | Author affiliation: Centro de Instrumentos, Univ. Nacional Autonoma de Mexico, Mexico City, Mexico (Arambula Cosio, F.) |
| Abstract | 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%. |
| Starting Page | 2567 |
| Ending Page | 2570 |
| File Size | 526270 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780372115 |
| ISSN | 1094687X |
| DOI | 10.1109/IEMBS.2001.1017304 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-10-25 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neural networks Workstations Biological cells Image segmentation Digital images Optical scattering Optical microscopy Instruments Image analysis Software systems |
| Content Type | Text |
| Resource Type | Article |
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