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COMPUTATIONAL PATHOLOGY APPROACH FOR RETROSPECTIVE ANALYSIS OF TISSUE-BASED COMPANION DIAGNOSTIC DRIVEN CLINICAL TRIAL STUDIES
COMPUTATIONAL PATHOLOGY APPROACH FOR RETROSPECTIVE ANALYSIS OF TISSUE-BASED COMPANION DIAGNOSTIC DRIVEN CLINICAL TRIAL STUDIES
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机译:基于组织的同伴诊断驱动临床试验研究的回顾性分析的计算病理学方法
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摘要
Automated systems and methods are presented for retrospectively analyzing clinical trial data. A plurality of image derived from biological samples of patients in a cohort population are accessed. Image features are computed based on the plurality of images. A diagnostic feature metric is derived based on the computed image features. A cut point value is determined by applying a statistical minimization method using the derived diagnostic feature metric and patient outcome data from the cohort population, in which the cut point value identifies a patient in the cohort population as positive or negative for a diagnostic test.
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