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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Keith, F.N. Rong Kong Pryia, A. Bhargava, R. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Bioeng. & Beckman Inst. for Adv. Sci. & Technol., Univ. of Illinois at Urbana-Champaign, Urbana, IL (Keith, F.N.; Rong Kong; Pryia, A.; Bhargava, R.) |
| Abstract | Optical microscopic examination of stained tissue by pathologists is the gold standard for the diagnosis of most cancers. Due to the human element involved, however, the process is slow, decisions are often complicated by subjective opinions and the uncertainty in diagnoses can affect therapy. Infrared spectroscopic imaging or hyperspectral molecular imaging, as opposed to optical wideband imaging, has been proposed as a viable alternative to provide automated, accurate, reproducible and useful diagnoses. Data processing to enable these applications, however, is not straightforward. Here we discuss recent advances in automatically profiling tissue and present the complexity and numerical strategies to address issues involved. Using breast cancer as an example, we show the importance of integrating statistical and mathematical tools into the analysis framework. |
| Starting Page | 71 |
| Ending Page | 75 |
| File Size | 4852641 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424407842 |
| ISSN | 10586393 |
| DOI | 10.1109/ACSSC.2006.356586 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-29 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data processing Fourier transforms Infrared spectra Hyperspectral imaging Optical microscopy Cancer Optical imaging Gold Humans Uncertainty |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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