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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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DICOM Images De-identification - Full

Latest Version:
5.5.0
Automate PHI redaction in DICOM images for secure data handling.

    Product Overview

    This advanced pipeline eliminates all visible text within DICOM images and removes or anonymizes most metadata fields, including patient identifiers, physician details, and hospital information. It is engineered for healthcare data scientists while ensuring data privacy and regulatory compliance. It seamlessly masks PHI within DICOM images, securing sensitive metadata and embedded texts, maintaining the original DICOM structure while overlaying black boxes over PHI entities and de-identifying metadata. Key Features include: Automated PHI Redaction -Integrates with hospital imaging systems to automatically obscure PHI; Secure Image Sharing - Enables safe distribution of de-identified images across healthcare facilities. Compliance and Audit Trails -Meets HIPAA standards with a traceable process for PHI removal and comprehensive audit logs. Essential for healthcare entities, this tool supports high privacy standards, enhancing medical research without compromising data quality.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • Benefits:

      🔷 Precision Masking: Accurately identifies and obscures PHI within images to maintain patient confidentiality.

      🔷Enhanced Data Security: Implements robust measures to ensure data remains protected both in transit and at rest.

      🔷 Efficient Processing: Utilizes GPU resources for quick processing of large image files, reducing wait times significantly.

    • Additional resources

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$23.76/hr

    running on ml.m4.xlarge

    Model Batch Transform$47.52/hr

    running on ml.m4.2xlarge

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$0.24/host/hr

    running on ml.m4.xlarge

    SageMaker Batch Transform$0.48/host/hr

    running on ml.m4.2xlarge

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.m4.xlarge
    Vendor Recommended
    $23.76

    Usage Information

    Model input and output details

    Input

    Summary

    Supported Dicom input format.

    Input MIME type
    application/octet-stream
    Sample input data

    Output

    Summary

    Supported Dicom output format.

    Output MIME type
    application/octet-stream
    Sample output data

    Additional Resources

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    DICOM Images De-identification - Full

    AWS Infrastructure

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Learn More

    Refund Policy

    No refunds are possible.

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