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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.

Skin Marking Classification Model
Free Trial

By: ElectrifAi LLC Latest Version: 1.0.0

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
By ElectrifAi LLC
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

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