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Articles by Nadine Saab
A Semantically Annotated Ex Vivo Orthopedic Hyperspectral Imaging Dataset for Surgical Tissue Segmentation
Abstract Hyperspectral imaging (HSI) is an emerging medical imaging modality that provides dense spatial and spectral information for tissue characterization. Despite its growing interest in surgical research, the lack of publicly available, semantically annotated hyperspectral datasets has limited the development and validation of data-driven methods for surgical tissue segmentation.
HSI-AgriFoodAnomaly, a hyperspectral dataset for foreign object detection in agri-food inspection
Abstract Ensuring food safety in agri-food production requires reliable inspection data for detecting foreign objects and other contamination risks. Hyperspectral imaging (HSI) is a relevant non-destructive modality for this purpose because it combines spatial information with detailed spectral responses.
UMass professors talk about capturing first black hole image
‘Seeing the unseeable’ By Nadine Saab, Collegian Correspondent May 1, 2019 Filed under Archives, Campus News, News, Scrolling Headlines Send email to this address Enter Your Name Add a comment here Verification After decades of tireless global collaborative research, theorizing and probing the depths of the cosmos, scientists achieved undoubted proof their theories behind black holes are true.
UMass reaches new heights with NASA challenge
Hang on for a minute...we're trying to find some more stories you might like. Close The University of Massachusetts Engineering Center for Collaborative Adaptive Sensing of the Atmosphere is partnering with companies to give the National Aeronautics and Space Administration an unmanned aircraft flight demonstration in 2020. The project is one of several being performed nationally, following an initiative by the Federal Aviation Administration through NASA.
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