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Download this data at challenge2024.isic-archive.com.

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DatasetTraining DataTraining Ground TruthTest DataTest Ground TruthLicense
SLICE-3D +

+ + Download (1.2GB) + +
+ 401,059 JPEG images of skin lesion image crops extracted from 3D TBP with metadata entries of age, + sex, general anatomic site, common patient identifier, clinical size, and various data fields from + the TBP Lesion Visualizer. +

+

+ + Download Supplemental Metadata (40MB) + +
+ 401,059 metadata entries of attributes which may be useful for training cross-validation. +

+ 		+ + Download (7MB) + +
+ 401,059 entries of gold standard lesion malignancy values. + 		+ {% include 'partials/not_available.html' %} + + {% include 'partials/not_available.html' %} + + + CC-BY-NC + +
SLICE-3D Permissive +

+ + Download (623MB) + +
+ 217,477 JPEG images of skin lesion image crops extracted from 3D TBP with metadata entries of age, + sex, general anatomic site, common patient identifier, clinical size, and various data from the TBP + Lesion Visualizer. +

+

+ + Download Supplemental Metadata (21MB) + +
+ 217,477 metadata entries of attributes which may be useful for training cross-validation. +

+ 		+ + Download (4MB) + +
+ 217,477 entries of gold standard lesion malignancy values. + 		+ {% include 'partials/not_available.html' %} + + {% include 'partials/not_available.html' %} + + + CC-BY + +
+ +

+ The datasets contain 15mm-by-15mm field-of-view cropped images, centered on distinct lesions, extracted from 3D + total body photographs. Datasets were curated by the International Skin Imaging Collaboration (ISIC) from images + contributed by: Memorial Sloan Kettering Cancer Center (USA), Hospital Clínic de Barcelona (Spain), The University + of Queensland (Australia), Medical University of Vienna (Austria), University of Athens (Greece), Melanoma Institute + Australia (Australia), University Hospital of Basel (Switzerland), Alfred Hospital (Australia), and FNQH Cairns + (Australia). +

+ +

+ A dataset descriptor covering the SLICE-3D dataset was published in Scientific Data and is openly available at + https://www.nature.com/articles/s41597-024-03743-w. +

+ +

Citing SLICE-3D dataset:

+To comply with the attribution requirements of the +CC-BY-NC license, +the "SLICE-3D" data must be cited as: +
+

+ International Skin Imaging Collaboration. SLICE-3D 2024 Challenge Dataset. + International Skin Imaging Collaboration + https://doi.org/10.34970/2024-slice-3d + (2024). +

+

Creative Commons Attribution-Non Commercial 4.0 International License.

+

+ The dataset was generated by the International Skin Imaging Collaboration (ISIC) and images are from the + following sources: Hospital Clínic de Barcelona, Memorial Sloan Kettering Cancer Center, Hospital of Basel, + FNQH Cairns, The University of Queensland, Melanoma Institute Australia, Monash University and Alfred Health, + University of Athens Medical School, and Medical University of Vienna. +

+

You should have received a copy of the license along with this work.

+

+ If not, see + + https://creativecommons.org/licenses/by-nc/4.0/legalcode.txt + . +

+
+ +

Citing SLICE-3D Permissive dataset:

+To comply with the attribution requirements of the +CC-BY license, +the "SLICE-3D Permissive" data must be cited as: +
+

+ International Skin Imaging Collaboration. SLICE-3D 2024 Permissive Challenge Dataset. + International Skin Imaging Collaboration + https://doi.org/10.34970/2024-slice-3d-permissive + (2024). +

+

Creative Commons Attribution 4.0 International License.

+

+ The dataset was generated by the International Skin Imaging Collaboration (ISIC) and images are from the + following sources: Memorial Sloan Kettering Cancer Center, FNQH Cairns, The University of Queensland, Melanoma + Institute Australia, and University of Athens Medical School. +

+

You should have received a copy of the license along with this work.

+

+ If not, see + + https://creativecommons.org/licenses/by/4.0/legalcode.txt + . +

+