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.
Glaucoma Detection Free trial
Latest Version:
0.1
Detects the evidence of Glaucoma based on RNFL thickness and visual field (VF)
Product Overview
Glaucoma is characterized by dysfunction and loss of retinal ganglion cells (RGCs), with resulting structural changes to the optic nerve head, as well as loss of the visual field. This machine learning models predicts the diagnosis of glaucoma based on retinal nerve fiber layer (RNFL) thickness and visual field (VF). This model is not intended for medical diagnostic purpose.
Key Data
Version
Type
Model Package
Highlights
Binary classifier that is trained on basic features from the examination records for the glaucoma and healthy controls such as ocular pressure, cornea thickness, retinal nerve fiber layer (RNFL) thickness etc. to classify the condition as glaucoma or not
Acknowledgement: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0177726
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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.
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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$0.50/hr
running on ml.m4.xlarge
Model Batch Transform$0.25/hr
running on ml.m4.xlarge
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$0.24/host/hr
running on ml.m4.xlarge
About Free trial
Try this product for 7 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 | $0.50 |
Usage Information
Fulfillment Methods
Amazon SageMaker
Download the Jupyter notebook in "Additional Resources" section and follow readme.txt provided.
Additional Resources
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Support Information
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