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Found 7 papers, 0 papers with code
GPU-Accelerated RSF Level Set Evolution for Large-Scale Microvascular Segmentation
Microvascular networks are challenging to model because these structures are currently near the diffraction limit for most advanced three-dimensional imaging modalities, including confocal and light sheet microscopy.
Rapid hyperspectral photothermal mid-infrared spectroscopic imaging from sparse data for gynecologic cancer tissue subtyping
We effectively minimize data collection requirements by leveraging sparse data acquisition and employing curvelet-based reconstruction algorithms.
Leveraging mid-infrared spectroscopic imaging and deep learning for tissue subtype classification in ovarian cancer
This paper presents the first label-free, quantitative, and automated histological recognition of ovarian tissue subtypes using a new MIRSI technique.
Adaptive Compressive Sampling for Mid-infrared Spectroscopic Imaging
Minfrared spectroscopic imaging (MIRSI) is an emerging class of label-free, biochemically quantitative technologies targeting digital histopathology.
Hyperspectral-Multispectral Image Fusion with Weighted LASSO
Hyperspectral imaging provides superior material specificity, while multispectral images are faster to collect at greater fidelity.
DVNet: A Memory-Efficient Three-Dimensional CNN for Large-Scale Neurovascular Reconstruction
Maps of brain microarchitecture are important for understanding neurological function and behavior, including alterations caused by chronic conditions such as neurodegenerative disease.
Three-Dimensional GPU-Accelerated Active Contours for Automated Localization of Cells in Large Images
Cell segmentation in microscopy is a challenging problem, since cells are often asymmetric and densely packed.
