Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models

In this paper we present a system for detecting regions of carcinoma of the prostate (CaP) in H&E stained radical prostatectomy specimens using the color fractal dimension. Color textural information is known to be a valuable characteristic to distinguish CaP from benign tissue. In addition to c...

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Bibliographische Detailangaben

Hauptverfasser:	Yu, E., Monaco, J. P., Tomaszewski, J., Shih, N., Feldman, M., Madabhushi, A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bayes Theorem Bayesian methods Cancer Color Computational fluid dynamics Fractals Humans Image color analysis Male Markov Chains Markov processes Probability Prostatic Neoplasms - diagnosis Prostatic Neoplasms - pathology ROC Curve
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