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Add 2024 challenge data page #407

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162 changes: 159 additions & 3 deletions stade/core/templates/data/2024.html
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<div style="min-height:400px;">
<h3>Download this data at <a href="https://challenge2024.isic-archive.com/">challenge2024.isic-archive.com</a>.</h3>
</div>
<table class="table is-hoverable is-bordered">
<thead>
<tr>
<th><abbr title="Dataset">Dataset</abbr></th>
<th><abbr title="Training Data">Training Data</abbr></th>
<th><abbr title="Training Ground Truth Data">Training Ground Truth</abbr></th>
<th><abbr title="Test Data">Test Data</abbr></th>
<th><abbr title="Test Ground Truth Data">Test Ground Truth</abbr></th>
<th><abbr title="License">License</abbr></th>
</tr>
</thead>
<tbody>
<tr>
<th>SLICE-3D</th>
<td>
<p>
<a href="https://isic-archive.s3.amazonaws.com/challenges/2024/ISIC_2024_Training_Input.zip">
Download (1.2GB)
</a>
<br>
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.
</p>
<p>
<a href="https://isic-archive.s3.amazonaws.com/challenges/2024/ISIC_2024_Training_Supplement.csv">
Download Supplemental Metadata (40MB)
</a>
<br>
401,059 metadata entries of attributes which may be useful for training cross-validation.
</p>
</td>
<td>
<a href="https://isic-archive.s3.amazonaws.com/challenges/2024/ISIC_2024_Training_GroundTruth.csv">
Download (7MB)
</a>
<br>
401,059 entries of gold standard lesion malignancy values.
</td>
<td>
{% include 'partials/not_available.html' %}
</td>
<td>
{% include 'partials/not_available.html' %}
</td>
<td>
<a href="https://creativecommons.org/licenses/by-nc/4.0/">
CC-BY-NC
</a>
</td>
</tr>
<tr>
<th>SLICE-3D Permissive</th>
<td>
<p>
<a href="https://isic-archive.s3.amazonaws.com/challenges/2024/ISIC_2024_Permissive_Training_Input.zip">
Download (623MB)
</a>
<br>
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.
</p>
<p>
<a href="https://isic-archive.s3.amazonaws.com/challenges/2024/ISIC_2024_Permissive_Training_Supplement.csv">
Download Supplemental Metadata (21MB)
</a>
<br>
217,477 metadata entries of attributes which may be useful for training cross-validation.
</p>
</td>
<td>
<a href="https://isic-archive.s3.amazonaws.com/challenges/2024/ISIC_2024_Permissive_Training_GroundTruth.csv">
Download (4MB)
</a>
<br>
217,477 entries of gold standard lesion malignancy values.
</td>
<td>
{% include 'partials/not_available.html' %}
</td>
<td>
{% include 'partials/not_available.html' %}
</td>
<td>
<a href="https://creativecommons.org/licenses/by/4.0/">
CC-BY
</a>
</td>
</tr>
</tbody>
</table>

<p>
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).
</p>

<p>
A dataset descriptor covering the SLICE-3D dataset was published in Scientific Data and is openly available at
<a href="https://www.nature.com/articles/s41597-024-03743-w">https://www.nature.com/articles/s41597-024-03743-w</a>.
</p>

<h3>Citing SLICE-3D dataset:</h3>
To comply with the attribution requirements of the
<a href="https://creativecommons.org/licenses/by-nc/4.0/">CC-BY-NC license</a>,
the "SLICE-3D" data must be cited as:
<blockquote>
<p>
International Skin Imaging Collaboration. SLICE-3D 2024 Challenge Dataset.
<i>International Skin Imaging Collaboration</i>
<a href="https://doi.org/10.34970/2024-slice-3d">https://doi.org/10.34970/2024-slice-3d</a>
(2024).
</p>
<p>Creative Commons Attribution-Non Commercial 4.0 International License.</p>
<p>
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.
</p>
<p>You should have received a copy of the license along with this work.</p>
<p>
If not, see
<a href="https://creativecommons.org/licenses/by-nc/4.0/legalcode.txt">
https://creativecommons.org/licenses/by-nc/4.0/legalcode.txt
</a>.
</p>
</blockquote>

<h3>Citing SLICE-3D Permissive dataset:</h3>
To comply with the attribution requirements of the
<a href="https://creativecommons.org/licenses/by/4.0/">CC-BY license</a>,
the "SLICE-3D Permissive" data must be cited as:
<blockquote>
<p>
International Skin Imaging Collaboration. SLICE-3D 2024 Permissive Challenge Dataset.
<i>International Skin Imaging Collaboration</i>
<a href="https://doi.org/10.34970/2024-slice-3d-permissive">https://doi.org/10.34970/2024-slice-3d-permissive</a>
(2024).
</p>
<p>Creative Commons Attribution 4.0 International License.</p>
<p>
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.
</p>
<p>You should have received a copy of the license along with this work.</p>
<p>
If not, see
<a href="https://creativecommons.org/licenses/by/4.0/legalcode.txt">
https://creativecommons.org/licenses/by/4.0/legalcode.txt
</a>.
</p>
</blockquote>
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