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
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