Weakly supervised temporal model for prediction of breast cancer distant recurrence
نویسندگان
چکیده
منابع مشابه
Weakly Supervised Learning for Structured Output Prediction
We consider the problem of learning the parameters of a structured output prediction model, that is, learning to predict elements of a complex interdependent output space that correspond to a given input. Unlike many of the existing approaches, we focus on the weakly supervised setting, where most (or all) of the training samples have only been partially annotated. Given such a weakly supervise...
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ژورنال
عنوان ژورنال: Scientific Reports
سال: 2021
ISSN: 2045-2322
DOI: 10.1038/s41598-021-89033-6