Beginning in 2016, ISIC has sponsored annual challenges for the computer science
community in association with leading computer vision conferences. Over the years, the
challenges have grown in scale, complexity, and participation, using high-quality
- human-validated training and test sets of thousands of CC-0-licensed images and metadata.
+ human-validated training and test sets of thousands of images and metadata.
The earlier challenges were focused primarily on diagnostic accuracy for distinguishing
- melanoma from other benign and malignant skin lesions. By 2018, the diagnostic performance
+ dermoscopic photos of melanoma from other skin lesions. By 2018, the diagnostic performance
of the leading algorithms was consistently outperforming clinicians in "reader studies".
- Additional challenges in 2019 and 2020 were designed to address the out-of-distribution
- problem and assess the impact of clinical context respectively. The 2020 challenge had
- 3,300 participants from around the world. In addition to the annual Grand Challenges,
+ Challenges in 2019 and 2020 were designed to address out-of-distribution classes
+ and assess the impact of clinical context, respectively.
+ The challenge in 2024 shifted focus from dermoscopy to 3D total-body-photography and involved 3,400 participants.
+ In addition to the annual Grand Challenges,
ISIC hosts "live challenges" that allow researchers and students to benchmark the
performance of their algorithms using ISIC images on an ongoing basis.
@@ -53,8 +54,8 @@
About the ISIC Archive
the largest publicly available collection of quality controlled dermoscopic
images of skin lesions.
-
Presently, the ISIC Archive contains over 13,000
- dermoscopic images, which were collected from leading clinical centers
+
Presently, the ISIC Archive contains over 500,000 public
+ images, which were collected from leading clinical centers
internationally and acquired from a variety of devices within each center. Broad
and international participation in image contribution is designed to insure a
representative clinically relevant sample.
@@ -67,38 +68,6 @@
About the ISIC Archive
(i.e., global and focal morphologic elements in the image known to discriminate
between types of skin lesions).
-
Skin cancer is a major public health problem, with over
diff --git a/stade/core/templates/landing/milk10k/index.html b/stade/core/templates/landing/milk10k/index.html
index efb36cc..20c02c9 100644
--- a/stade/core/templates/landing/milk10k/index.html
+++ b/stade/core/templates/landing/milk10k/index.html
@@ -8,6 +8,26 @@
{{ challenge.name }} Challenge {% if challenge.locked %}[Closed]{% endif %}<