Showing 2 open source projects for "spectra deep learning"

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  • Visitor Management and Staff Sign In | Sign In App Icon
    Visitor Management and Staff Sign In | Sign In App

    Sign In App is a modern, enjoyable way to sign in visitors and staff, and book desks and meeting rooms.

    Our visitor management system streamlines registration, check-in, and authorization processes, while our facility management tools streamline room booking, resource allocation, and asset management. We prioritize security with our advanced risk mitigation measures, including health and safety protocols, emergency messaging, and robust analytics for thorough auditing.
  • Sage Intacct Cloud Accounting and Financial Management Software Icon
    Sage Intacct Cloud Accounting and Financial Management Software

    Cloud accounting, payroll, and HR that grows with you

    Drive your organization forward with the right solution at the right price. AI-powered continuous accounting and ERP to support your growth now and into the future.
  • 1
    CometAnalyser

    CometAnalyser

    CometAnalyser, for quantitative comet assay analysis.

    Description: Comet assay provides an easy solution to estimate DNA damage in single cells through microscopy assessment. To obtain reproducible and reliable quantitative data, we developed an easy-to-use tool named CometAnalyser. CometAnalyser is an open-source deep-learning tool designed for the analysis of both fluorescent and silver-stained wide-field microscopy images. Once the comets are segmented and classified, several intensity/morphological features are automatically exported...
    Downloads: 23 This Week
    Last Update:
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  • 2
    Spheroid_segmentation

    Spheroid_segmentation

    Deep learning networks for spheroid segmentation

    To accelerate the analysis of tumors' spheroids, different deep learning networks were trained to automatize the segmentation process. The code provides the trained networks based on Vgg16, Vgg19, ResNet18, and ResNet50 ready to be used for segmentation purposes. It also provides Matlab functions ready to be used to train new networks, segment new images, and measure the quality of the training using different quantitative parameters.
    Downloads: 0 This Week
    Last Update:
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