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Found 4 papers, 4 papers with code
ReCasNet: Improving consistency within the two-stage mitosis detection framework
Existing approaches utilize a two-stage pipeline: the detection stage for identifying the locations of potential mitotic cells and the classification stage for refining prediction confidences.
Set Prediction in the Latent Space
Set prediction tasks require the matching between predicted set and ground truth set in order to propagate the gradient signal.
High resolution weakly supervised localization architectures for medical images
In medical imaging, Class-Activation Map (CAM) serves as the main explainability tool by pointing to the region of interest.
Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid De Novo Peptide Sequencing Framework
Typical analyses of mass spectrometry data only identify amino acid sequences that exist in reference databases.
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