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Found 3 papers, 2 papers with code
LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype
The accurate classification of lymphoma subtypes using hematoxylin and eosin (H&E)-stained tissue is complicated by the wide range of morphological features these cancers can exhibit.
Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light
In order to verify the effectiveness of the proposed system, we build a prototype and collect a test dataset in indoor scenes.
Bilateral Grid Learning for Stereo Matching Networks
In this paper, we present a novel edge-preserving cost volume upsampling module based on the slicing operation in the learned bilateral grid.
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