Robotics & Machine Learning Daily News2024,Issue(Apr.22) :83-83.

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)

Robotics & Machine Learning Daily News2024,Issue(Apr.22) :83-83.

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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Abstract

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. ”

Key words

Stanford/California/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Genetics/Machine Learni ng/Stanford University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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