2018
Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning
Klauschen F, Müller K, Binder A, Bockmayr M, Hägele M, Seegerer P, Wienert S, Pruneri G, de Maria S, Badve S, Michiels S, Nielsen TO, Adams S, Savas P, Symmans F, Willis S, Gruosso T, Park M, Haibe-Kains B, Gallas B, Thompson AM, Cree I, Sotiriou C, Solinas C, Preusser M, Hewitt SM, Rimm D, Viale G, Loi S, Loibl S, Salgado R, Denkert C, Group O. Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning. Seminars In Cancer Biology 2018, 52: 151-157. PMID: 29990622, DOI: 10.1016/j.semcancer.2018.07.001.Peer-Reviewed Original ResearchConceptsClassical image segmentationLearning-based approachImage analysis approachImage segmentationTraining dataConventional machineExplainable machineVisual approachPlausibility checksML resultsSegmentationMachineSuch approachesLimited precisionShape propertiesDecision-making processLarge amountScoring approachComplex propertiesAnalysis approachHeatmapsTIL quantificationObjectsBiomedical researchEstimation
2004
Technology Insight: identification of biomarkers with tissue microarray technology
Giltnane JM, Rimm DL. Technology Insight: identification of biomarkers with tissue microarray technology. Nature Reviews Clinical Oncology 2004, 1: 104-111. PMID: 16264828, DOI: 10.1038/ncponc0046.Peer-Reviewed Original ResearchConceptsMicroarray technologyRate of translationGene expression microarraysHigh-throughput technologiesTumor-specific protein expressionHigh-throughput analysisExpression microarraysTarget discoveryTissue microarray technologyMicroarrayProtein expressionPotential targetIdentification of biomarkersTissue microarrayBiomedical researchTargetPowerful toolTranslationExpressionQuality controlRapid mannerDiscovery