Open data
|
Deployed on AWS
A public-access archive of skin lesion images, supporting teaching, research, and the development and evaluation of diagnostic algorithms.
Overview
A public-access archive of skin lesion images, supporting teaching, research, and the development and evaluation of diagnostic algorithms.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Images of skin lesions and associated metadata
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::isic-archive
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://isic-archive/
- Description
- Notifications of new data
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-east-1:024848456264:isic-archive-object_created
- AWS region
- us-east-1
Resources
Vendor resources
Support
Contact
Managed By
International Skin Imaging Collaboration (ISIC)
How to cite
International Skin Imaging Collaboration (ISIC) Archive was accessed on DATE from https://registry.opendata.aws/isic-archive .
License
Creative Commons licenses (CC-0, CC-BY, or CC-BY-NC) are defined per-image.
Similar products
This page describes the COBRA (Classification Of Basal cell carcinoma, Risky skin cancers and Abnormalities) skin pathology dataset, which comprises over 7000 histopathology whole-slide-images related to the diagnosis of basal cell carcinoma skin cancer, the most commonly diagnosed cancer. The dataset includes biopsies and excisions and is divided into four groups. The first group contains about 2,500 BCC biopsies with subtype labels, while the second group includes 2,500 non-BCC biopsies with different types of skin dysplasia. The third group has 1,000 labelled risky cancer biopsies, including rare and dangerous types like melanoma, squamous cell carcinoma, and Merkel cell carcinoma. Finally, the fourth group contains 1,000 BCC excisions with or without free tumor margins, with 300 fully annotated. The dataset will be released over 2023 in stages, starting with the BCC and non-BCC biopsies, followed by BCC excisions, and finally the risky cancer biopsies.
Orthanc is a lightweight DICOM PACS medical imaging server with a web interface for healthcare, radiology, and medical research.
To help identify skin mutations to support clinical decisions and diagnosis.
Apollo arcc is a state-of-the-art, cloud-based, multidisciplinary medical imaging platform for care collaboration. arcc provides one view of all patient images through one platform, with a single architecture for storage, and a single set of connections to the electronic health record (EHR). This ensures complete data integration throughout a health system. With a VNA at its core, arcc provides disaster recovery file archiving on AWS, and supports clinical imaging workflows for 45 specialty departments, enabling every department to securely acquire, manage, & access all clinical content to provide one view of all patient data. arcc serves as a cornerstone for health systems, facilitating the enterprise-wide organization and accessibility of medical imaging data and digital asset management across departments. The arcc solution is right for your health system no matter the size