2008 | OriginalPaper | Buchkapitel
Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoma Patients
verfasst von : Thomas J. Fuchs, Peter J. Wild, Holger Moch, Joachim M. Buhmann
Erschienen in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008
Verlag: Springer Berlin Heidelberg
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Renal cell carcinoma (RCC) can be diagnosed by histological tissue analysis where exact counts of cancerous cell nuclei are required. We propose a completely automated image analysis pipeline to predict the survival of RCC patients based on the analysis of immunohistochemical staining of MIB-1 on tissue microarrays. A random forest classifier detects cell nuclei of cancerous cells and predicts their staining. The classifier training is achieved by expert annotations of 2300 nuclei gathered from tissues of 9 different RCC patients. The application to a test set of 133 patients clearly demonstrates that our computational pathology analysis matches the prognostic performance of expert pathologists.