pone.0259529.s002.docx (78.99 kB)
Object segmentation and classification.
journal contribution
posted on 2021-11-04, 17:28 authored by Kelly Yi Ping Liu, Sarah Yuqi Zhu, Alan Harrison, Zhao Yang Chen, Martial Guillaud, Catherine F. PohAll the regions of interest (ROIs) segmented into objects (i.e. nuclei) (A) which went through successive splits based on a mixture of binary or random forest algorithms (B) into populations of objects with 93 quantitative nuclear phenotypes (QNP) for analysis.
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using random foresttwo consecutive sectionssignificant prognostic factorroutine pathology tissuequantitative nuclear phenotypemeasuring nuclear morphologymodel achieved 100level model basedbased model usingpoorly differentiated tumorsnrs &# 880535 patients diagnosed14 g2 tumorsxlink "> earlytest set patientsdifferentiated tumorsxlink ">predictive model35 patientstest settest setsvalidated biomarkersunprecedented opportunitytumor cellthionin stainingroc curveregional metastasisreceived surgeryrandomly splitprimary tumorpredicting lnobjective biomarkermedian nrsln +),findings maydna amountcurative intentclinical impactchromatin texture481 ),1 %.
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