Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images

Quantitative histomorphometry (QH) is the process of computerized feature extraction from digitized tissue slide images to predict disease presence, behavior, and outcome. Feature stability between sites may be compromised by laboratory-specific variables including dye batch, slice thickness, and th...

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Bibliographische Detailangaben
Veröffentlicht in:J Med Imaging (Bellingham)
Hauptverfasser: Leo, Patrick, Lee, George, Shih, Natalie N. C., Elliott, Robin, Feldman, Michael D., Madabhushi, Anant
Format: Artigo
Sprache:Inglês
Veröffentlicht: Society of Photo-Optical Instrumentation Engineers 2016
Schlagworte:
Digital Pathology
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5076015/
https://ncbi.nlm.nih.gov/pubmed/27803941
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.3.4.047502
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