High-Throughput Detection of Prostate Cancer in Histological Sections Using Probabilistic Pairwise Markov Models

In this paper we present a high-throughput system for detecting regions of carcinoma of the prostate (CaP) in HSs from radical prostatectomies (RPs) using probabilistic pairwise Markov models (PPMMs), a novel type of Markov random field (MRF). At diagnostic resolution a digitized HS can contain 80K×...

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Detalhes bibliográficos
Main Authors: Monaco, James P., Tomaszewski, John E., Feldman, Michael D., Hagemann, Ian, Moradi, Mehdi, Mousavi, Parvin, Boag, Alexander, Davidson, Chris, Abolmaesumi, Purang, Madabhushi, Anant
Formato: Artigo
Idioma:Inglês
Publicado em: 2010
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2916937/
https://ncbi.nlm.nih.gov/pubmed/20493759
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2010.04.007
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