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.
DICOM Images De-identification - Alias
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Latest Version:
5.5.0
Free trial
Replace values in metadata with pseudonyms, and most of the tags in the metadata of the DICOM image analyzed.
Product Overview
This pipeline offers a cutting-edge solution for healthcare data scientists focused on data privacy and adherence to health regulations, effectively masking PHI information in DICOM images, by replacing personal identifiers with pseudonyms instead of removing them, ensuring that PHI is no longer traceable while maintaining data integrity for longitudinal studies and collaborations. It effectively masks PHI information by adding black bounding boxes to conceal PHI while preserving the original file structure for secure sharing and collaborative efforts. Key features include Automated PHI Redaction - integrates with hospital systems for immediate PHI detection and masking; Secure Image Sharing, allowing distribution of de-identified images; Compliance and Audit Trails - align with HIPAA and other regulations. This tool is crucial for healthcare organizations prioritizing data privacy in medical research and collaborations, guaranteeing security and quality of medical imaging data.
Key Data
Version
Type
Model Package
Highlights
Benefits:
🔷Facilitates Research and Development: The ability to securely de-identify PHI in DICOM images enables researchers to use real patient data without compromising privacy, accelerating medical research of new treatments and technologies.
🔷Enhanced Patient Trust and Confidentiality: healthcare organizations can improve trust with their patients
🔷Reduced Risk of Data Breaches: By automating the process of de-identifying sensitive information, the risk of data breaches is significantly reduced.
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 PricingWith 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
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
About Free trial
Try this product for 15 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.
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
Sample notebook
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 - Alias
For any assistance, please reach out to support@johnsnowlabs.com. https://spark-nlp.slack.com/archives/C06HG18DDDH
AWS Infrastructure
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