A temporal prior from inter-frame motion flow is injected as initialization into an attention pyramid network to guide coarse-to-fine instrument segmentation in MIS videos, exceeding prior results on the EndoVis dataset across three tasks.
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
3 Pith papers cite this work, alongside 48 external citations. Polarity classification is still indexing.
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Two configurable quantum algorithms (DG-CSWAP and DG-DST) for histopathologic cancer detection are shown to be algebraically equivalent, executed on real NISQ hardware with mitigation, and achieve 79.8% accuracy versus a classical baseline.
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Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video
A temporal prior from inter-frame motion flow is injected as initialization into an attention pyramid network to guide coarse-to-fine instrument segmentation in MIS videos, exceeding prior results on the EndoVis dataset across three tasks.
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Configurable Algorithms for Histopathologic Cancer Detection on Quantum Hardware
Two configurable quantum algorithms (DG-CSWAP and DG-DST) for histopathologic cancer detection are shown to be algebraically equivalent, executed on real NISQ hardware with mitigation, and achieve 79.8% accuracy versus a classical baseline.
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