首页|Data from Stanford University Provide New Insights into Machine Learning (Genera tion of Synthetic Whole-slide Image Tiles of Tumours From Rna-sequencing Data Vi a Cascaded Diffusion Models)
Data from Stanford University Provide New Insights into Machine Learning (Genera tion of Synthetic Whole-slide Image Tiles of Tumours From Rna-sequencing Data Vi a Cascaded Diffusion Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Machine Learning are presented in a new report. According to news originatingfrom Stanford, California, by NewsRx correspondents, research stated, “Training machine-learning modelswith syntheti cally generated data can alleviate the problem of data scarcity when acquiring d iverse andsufficiently large datasets is costly and challenging. Here we show t hat cascaded diffusion models can beused to synthesize realistic whole-slide im age tiles from latent representations of RNA-sequencing datafrom human tumours. ”
StanfordCaliforniaUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesGeneticsMachine Learni ngStanford University
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