摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报告的主题。根据NewsRx记者在英国伦敦的新闻报道，研究表明：“演示和评估前列腺癌的VERDICT(肿瘤中的血管、细胞外和限制性扩散)模型的ELF监督机器学习拟合。我们导出了一个用于拟合VERDICT(ssVERDICT)的自监督神经网络，EST在没有训练数据的情况下模拟参数图。”这项研究的财政支持者包括英国前列腺癌，工程和物理科学研究委员会，伦敦大学学院医院NHS基金会信托基金。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating in London, United Kingdom, by NewsRx journalists, research stated, "Demonstrating and assessing s elf-supervised machine-learning fitting of the VERDICT (vascular, extracellular and restricted diffusion for cytometry in tumors) model for prostate cancer. We derive a self-supervised neural network for fitting VERDICT (ssVERDICT) that est imates parameter maps without training data." Financial supporters for this research include Prostate Cancer UK, Engineering a nd Physical Sciences Research Council, University College London Hospitals NHS F oundation Trust.
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