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Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images
Accurate cancer diagnosis remains a critical challenge in digital pathology, largely due to the gigapixel size and complex spatial relationships present in whole slide images.
Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration
Instead of learning a single codebook for each image category, we learn a set of basis codebooks.
DeepDPM: Dynamic Population Mapping via Deep Neural Network
In this paper, we first propose the idea to generate dynamic population distributions in full-time series, then we design dynamic population mapping via deep neural network(DeepDPM), a model that describes both spatial and temporal patterns using coarse data and point of interest information.
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