The CAMELYON16 challenge has ended in November 2016
PLEASE CHECK OUT CAMELYON17:
The data in this challenge contains a total of 400 whole-slide images (WSIs) of sentinel lymph node from two independent datasets collected in Radboud University Medical Center (Nijmegen, the Netherlands), and the University Medical Center Utrecht (Utrecht, the Netherlands).
The training dataset
The first training dataset consists of 170 WSIs of lymph node (100 Normal and 70 containing metastases) and the second 100 WSIs (including 60 normal slides and 40 slides containing metastases).
The ground truth data for the slides containing metastases is provided in two formats:
- .xml files containing vertices of the annotated contours
- WSI binary Masks
The test dataset
The test dataset consists of 130 WSIs which are collected from both Universities.
Visualizing the images and annotations
Automated Slide Analysis Platform (ASAP) is an open source platform for visualizing, annotating and automatically analyzing whole-slide histopathology images. ASAP is built on top of several well-developed open source packages like OpenSlide, Qt and OpenCV. We strongly recommend the participants to use this platform for visualizing the slides and viewing the annotations. You can download ASAP from Github.
Example of a metastatic region: