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- W2065416237 abstract "During the past years, many studies have shown that infrared spectral histopathology (SHP) can distinguish different tissue types and disease types independently of morphological criteria. In this manuscript, we report a comparison of immunohistochemical (IHC), histopathological and spectral histopathological results for colon cancer tissue sections. A supervised algorithm, based on the “random forest” methodology, was trained using classical histopathology, and used to automatically identify colon tissue types, and areas of colon adenocarcinoma. The SHP images subsequently were compared to IHC-based images. This comparison revealed excellent agreement between the methods, and demonstrated that label-free SHP detects compositional changes in tissue that are the basis of the sensitivity of IHC. (© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)" @default.
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- W2065416237 date "2012-12-07" @default.
- W2065416237 modified "2023-10-02" @default.
- W2065416237 title "Immunohistochemistry, histopathology and infrared spectral histopathology of colon cancer tissue sections" @default.
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- W2065416237 doi "https://doi.org/10.1002/jbio.201200132" @default.
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