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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wu, Q. Suetens, P. Oosterlinck, A. |
| Copyright Year | 1989 |
| Description | Author affiliation: Dept. of Electr. Eng., Leuven Univ., Belgium (Wu, Q.; Suetens, P.; Oosterlinck, A.) |
| Abstract | Most biomedical pattern recognition (BPR) systems use the classical statistical pattern recognition strategy in which a feature hyperspace is constructed for the problem followed by a statistical discriminant analysis procedure. It is shown that there are several essential drawbacks with this conventional approach. These limitations often lead to highly erroneous classification results subject to time-consuming interactive corrections in existing systems. To overcome such limitations, a pilot study on applying knowledge-based techniques to chromosome classification has been carried out. The scheme developed as a result of this case study is described in detail. The system has been implemented and tested on metaphase imagery in preliminary experiments, the results of which are also presented.< |
| Starting Page | 239 |
| Ending Page | 244 |
| File Size | 621075 |
| Page Count | 6 |
| File Format | |
| ISBN | 0818619023 |
| DOI | 10.1109/CAIA.1989.49159 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1989-03-06 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pattern recognition Computer aided software engineering Business process re-engineering Knowledge based systems Biological cells System testing Artificial intelligence Pattern analysis Image analysis Automatic testing |
| Content Type | Text |
| Resource Type | Article |
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