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Scientific Data

2024

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The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection.

Scientific Data

2021

A patient-centric dataset of images and metadata for identifying melanomas using clinical context.

Lancet Digital Health

2022

Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge

JEADV

2024

International Skin Imaging Collaboration-Designated Diagnoses (ISIC-IDDX): Consensus terminology for lesion diagnostic labeling

JEADV

2020

Human surface anatomy terminology for dermatology: a Delphi consensus from the International Skin Imaging Collaboration.

Nature Medicine

2020

Human–computer collaboration for skin cancer recognition.

Photography in Clinical Medicine

2020

Metadata and DICOM for Medical Photography.

Frontiers in Medicine

2020

The Role of DICOM in Artificial Intelligence for Skin Disease.

SCMS

2019

The role of public challenges and data sets towards algorithm development, trust, and use in clinical practice.

arXiv

2019

Skin lesion analysis toward melanoma detection 2018: A challenge hosted by the international skin imaging collaboration (ISIC).

JAAD

2019

Developing an international standard for the classification of surface anatomic location for use in clinical practice and epidemiologic research.

Journal of Digital Imaging

2018

Transforming dermatologic imaging for the digital era: metadata and standards.

IEEE

2018

Skin lesion analysis toward melanoma detection: A challenge at the 2017 international symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC).

The Lancet Oncology

2018

Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study.

JAAD

2018

Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images.

JAMA Dermatolgy

2017

Technique standards for skin lesion imaging: A delphi consensus statement.

JAMA Dermatology

2017

Proposed technical guidelines for the acquisition of clinical images of skin-related conditions.

arXiv

2016

Skin lesion analysis toward melanoma detection: A challenge at the international symposium on biomedical imaging (ISBI) 2016, hosted by the international skin imaging collaboration (ISIC).

JAAD

2016

Standardization of terminology in dermoscopy/dermatoscopy: Results of the third consensus conference of the International Society of Dermoscopy.

JAMA Dermatology

2015

Technology and technique standards for camera-acquired digital dermatologic images: a systematic review.

DICOM

2019

Digital Imaging and Communications in Medicine (DICOM) 9 Supplement 221: Dermoscopy.

ISIC projects, data, and challenges have been instrumental in over 1,000 scientific publications.

Core Publications

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