PITA is a protocol-independent transport architecture that enables full data-path programmability at line rate by structuring the datapath around a uniform abstraction and reworking scheduling, packet generation, and reassembly.
Methods for Segmentation and Classification of Digital Microscopy Tissue Images
2 Pith papers cite this work. Polarity classification is still indexing.
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VitaminP uses paired H&E-mIF data to train a model that transfers molecular boundary information, enabling accurate whole-cell segmentation directly from routine H&E histology across 34 cancer types.
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A Protocol-Independent Transport Architecture
PITA is a protocol-independent transport architecture that enables full data-path programmability at line rate by structuring the datapath around a uniform abstraction and reworking scheduling, packet generation, and reassembly.
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VitaminP: cross-modal learning enables whole-cell segmentation from routine histology
VitaminP uses paired H&E-mIF data to train a model that transfers molecular boundary information, enabling accurate whole-cell segmentation directly from routine H&E histology across 34 cancer types.