MMAP uses multi-magnification patch features and slide-level prototype embeddings to predict spatial gene expression from H&E images and reports better MAE, MSE, and PCC than prior methods.
In: 2017 IEEE In- ternational Conference on Image Processing (ICIP)
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MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
MMAP uses multi-magnification patch features and slide-level prototype embeddings to predict spatial gene expression from H&E images and reports better MAE, MSE, and PCC than prior methods.