ISIC | International Skin Imaging Collaboration (original) (raw)

Public International Image Database

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Clinicians & Educators

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wishing to...

View Dermatology Images

Upload Images

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Clinicians

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Contribute Images

ISIC Challenges

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AI Researchers

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Take Part in ML Competitions

Engaging Stakeholder Communities

2024 Challenge

ISIC Machine Learning Challenge

In this competition, you'll develop image-based algorithms to identify histologically confirmed skin cancer cases with single-lesion crops from 3D total body photos (TBP). The image quality resembles close-up smartphone photos, which are regularly submitted for telehealth purposes. Your binary classification algorithm could be used in settings without access to specialized care and improve triage for early skin cancer detection.

The ISIC Archive

A large and expanding open-source public-access archive of skin images serves as a public resource for teaching, research, and the development and testing of diagnostic artificial intelligence algorithms

Browse tens of thousands of public images
Define an image collection and collect annotations
Access data through the command line
Contribute data from your own clinic

Serving the Clinical and Computer Vision Communities

The International Skin Imaging Collaboration (ISIC) is an academia and industry partnership designed to use digital skin imaging to help reduce skin cancer mortality.

ISIC works to achieve its goals through the development and promotion of standards for digital skin imaging, and through engaging the dermatology and computer vision communities toward improved diagnostics.

Creating and Disseminating Skin Imaging Standards

Upcoming Workshop

The Alignment Problem in Medicine

In this special session, we will explore the alignment of AI systems with human values within image-based diagnostic medicine. To integrate complex ethical principles and embed human values into AI algorithm, it is required to understand ethical frames in healthcare and apply it in AI development. Transparency and biases in AI systems will also be important discussion topics in this session.

October 10, 2024

9th Skin Image Analysis Workshop @ MICCAI

This workshop will serve as a venue to facilitate advancements and knowledge dissemination in the field of skin image analysis, raising awareness and interest for these socially valuable tasks.

September 6, 2024

Conclusion of the ISIC 2024 Challenge

ISIC 2024 - Skin Cancer Detection with 3D-TBP competition closes on Kaggle. Thanks to all 3,410 participants for submitting a combined 79,008 solutions!

August 14, 2024

Kurtansky et al. publishes SLICE-3D dataset paper in Scientific Data

400,000 lesion images were extracted from 3D TBP captured from around the world. The dataset was used to train algorithms in the ISIC 2024 Challenge.

June 27, 2024

ISIC 2024 Challenge Begins

ISIC 2024 - Skin Cancer Detection with 3D-TBP competition opens on Kaggle, featuring a dataset of over 900K images. $80,000 in prize-money up for grabs.

June 24, 2024

MICCAI Workshop paper submission deadline

Deadline to submit papers for the 9th Skin Image Analysis Workshop at MICCAI, hosted in Marrakesh, Morocco on October 10, 2024.

Disseminating Standards

Compatibility in resolution, color processing, technical metadata, compression, and encryption

Josep Malvehy, MD
Hospital Clinic of Barcelona
Barcelona, Spain

Working Groups

Developing standards to ensure quality, privacy, and interoperability of dermatologic images.

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Organizing workshops and ML challenges to engage with computer vision researchers.

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Disseminating resources for educating the next generation of skin cancer experts.

Machine Learning Competitions

Hosting competitions to engage the computer vision community to improve dermatologic diagnostic accuracy with the aid of AI.

Lesion mask segmentation

Attributes detection
5 classes

Diagnostic classification
7 classes

​Participation - 113 participant teams
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​Released datasets​​

Lesion mask segmentation

Attributes detection
4 classes

Diagnostic classification
3 classes

​Participation - 33 participant teams
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​Released datasets​​

3 Subtasks

Lesion mask segmentation

Attribute detection
2 morphologic features

Diagnostic classification
Melanoma vs bengin

An overview of the ISIC Archive, voiceover by Veronica Rotemberg (AI Working Group Leader)

Core Publications

ISIC Working Groups have published dozens of seminal papers in high-impact journals.

9,095 Registered Users
482,781 Public Images

1,154,565 Total Images

22 Core Publications

1000+ Citations

Generously funded by The Shore Family Fund

Improving Skin Cancer Diagnosis by
● Promoting Standards in Skin Imaging

● Gathering and Sharing Dermatologic Images

● Engaging Clinicians & Computer Vision Researchers