Spatial transcriptomics expression prediction from histopathology based on cross-modal mask reconstruction and contrastive learning

URN to cite this document:: urn:nbn:de:bvb:355-epub-782528
DOI to cite this document:: 10.5283/epub.78252

Liu, Junzhuo ; Eckstein, Markus ; Wang, Zhixiang ; Feuerhake, Friedrich ; Merhof, Dorit

License: Creative Commons Attribution Non-commercial No Derivatives 4.0
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Date of publication of this fulltext: 03 Dec 2025 05:41

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Abstract

Spatial transcriptomics is a technology that captures gene expression at different spatial locations, widely used in tumor microenvironment analysis and molecular profiling of histopathology, providing valuable insights into resolving gene expression and clinical diagnosis of cancer. Due to the high cost of data acquisition, large-scale spatial transcriptomics data remain challenging to obtain. ...