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20 February 2009 Validating the cancer diagnosis potential of mid-infrared spectroscopic imaging
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Histologic diagnosis is the gold standard for evaluating the presence and severity of most cancers. Unfortunately, the manual nature of histologic recognition leads to low throughput and errors. Here, we report on the evaluation of an automated means to accurate histologic recognition using mid-infrared spectroscopic imaging. The method does not need dyes or probes and dispenses with human input but relies on computational approaches to provide decisions. Hence, the results must be rigorously validated. We present here a validation of two-class models for pixel-level histologic segmentation and pathologic classification by spatial polling for breast carcinoma. We also discuss optimization of spectral resolution and instrumentation for clinical translation.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
F. Nell Pounder, Rohith J. Reddy, Michael J. Walsh, and Rohit Bhargava "Validating the cancer diagnosis potential of mid-infrared spectroscopic imaging", Proc. SPIE 7186, Optical Diagnostics and Sensing IX, 71860F (20 February 2009);

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