Variational autoencoders for tissue heterogeneity exploration from (almost) no preprocessed mass spectrometry imaging data
英文摘要：
The paper presents the application of Variational Autoencoders (VAE) for data dimensionality reduction and explorative analysis of mass spectrometry imaging data (MSI). The results confirm that VAEs are capable of detecting the patterns associated with the different tissue sub-types with performance than standard approaches.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
