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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fraser, K. O'Neill, P. Zidong Wang Xiaohui Liu |
| Copyright Year | 2004 |
| Description | Author affiliation: DISC, Brunel Univ., Uxbridge, UK (Fraser, K.; O'Neill, P.; Zidong Wang; Xiaohui Liu) |
| Abstract | In the past decade computational biology has come to the forefront of the public's perception with advancements in domain knowledge and a variety of analysis techniques. With the recent completion of projects like the human genome sequence, and the development of microarray chips it has become possible to simultaneously analyse expression levels for thousands of genes. Typically, a slide surface of less than 24 cm/sup 2/, receptors for 30,000 genes can be printed, but currently the analysis process is a time consuming semi-autonomous step requiring human guidance. The paper proposes a framework, which facilitates automated processing of these images. This is supported by real world examples, which demonstrate the technique's capabilities along with results, which show a marked improvement over existing implementations. |
| Starting Page | 1061 |
| Ending Page | 1066 |
| File Size | 1035708 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780386531 |
| DOI | 10.1109/ICARCV.2004.1468990 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-12-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image analysis Gene expression Pixel Humans Genomics Bioinformatics Microscopy Image storage Computer vision Performance analysis |
| Content Type | Text |
| Resource Type | Article |
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