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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Skin Marking Classification Model Free trial
By:
Latest Version:
1.0.1
To help identify skin mutations to support clinical decisions and diagnosis.
Product Overview
To help identify skin mutations to support clinical decisions and diagnosis. Non-melanoma skin cancers, such as Basal Cell Carcinomas (BCC) and Squamous Cell Carcinomas (SCC), are the most common human skin cancers and they are growing fast. By inputting an image (.jpg, .png, or .bmp), the model outputs a probability value between 0 - 1 indicating the likelihood of BCC or SCC skin cancer. The model does not do disease detection or symptom extraction. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will be prompted to add suggested Input Data. Sample Data is representative of the Output Data but does not actually consider the Input Data. Our machine learning models return actual Output Data and are available through a private offer. Please contact info@electrifai.net for subscription service pricing. SKU: SKINC-PS-HLC-AWS-001
Key Data
Version
Type
Model Package
Highlights
To help identify skin mutations to support clinical decisions and assist in diagnosis of skin cancers such as Basal Cell Carcinomas and Squamous Cell Carcinomas.
The following model has not been FDA cleared and/or approved and must be used under guidance or supervision of an institutional review board. The model must be used by an appropriately trained or licensed healthcare provider and shall not be solely or primarily relied upon to diagnose, treat, prevent, cure, triage, monitor, investigate, predict outcome and/or used as a response to treatment for patients who have a specific skin disease. The recommendations provided by the product are adjunctive to any additional information gathered by a professional.
Use of this model should be in line with local and state regulations. This model is not indicated for the diagnosis of specific skin disease(s), but merely provides interpretation of the images.
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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$700.00/hr
running on ml.p2.16xlarge
Model Batch Transform$700.00/hr
running on ml.m5.2xlarge
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$16.56/host/hr
running on ml.p2.16xlarge
SageMaker Batch Transform$0.461/host/hr
running on ml.m5.2xlarge
About Free trial
Try this product for 14 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.p2.xlarge | $500.00 | |
ml.p2.16xlarge Vendor Recommended | $700.00 | |
ml.p3.16xlarge | $900.00 |
Usage Information
Model input and output details
Input
Summary
Input: 1 image in .jpg, .bmp or .png format
Input MIME type
image/jpeg, image/png, image/bmpSample input data
Output
Summary
Output: a JSON object containing probability value between 0 - 1 indicating the likelihood of BCC or SCC skin cancer Columns: Image: name of input image file BCC: probability of BCC skin cancer Other: probability of other skin cancer
Output MIME type
application/jsonSample output data
Sample notebook
Additional Resources
End User License Agreement
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Support Information
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 MoreRefund Policy
No Refunds.
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