A curated list of awesome Bioimage Analysis Challenges. The goal of this list is to be a place where Bioimage Analysis Developers can find challenges to evaluate and benchmark their algorithms. In order to be added the linked challenge should have:
- imaging data available for public download
- a specified image analysis task (e.g. segmentation, classification)
- a metric for evaluating performance
- some form of "annotation", "labeling", or "ground truth"
This is list currently organized by scientific domain.
Challenges for cell biology data
- ISBI Cell Tracking - Segment and track moving cells in time-lapse video sequences.
- Kaggle Data Science Bowl 2018 - Segement nuclei across varied conditions.
- Kaggle HPA - Classify mixed patterns of proteins in microscope images from the human protein atlas.
Challenges for Cryo EM and Cryo ET data
- SHREC 2021 - Localization and classification of biological particles in simulated cryo-electron tomograms.
Challenges for neuroscience data
- Neurofinder - Cell segmentation for 2-photon caclium imaging in mice with manually labeled ground truth.
Challenges for pathology data
- Camelyon17 - Automated detection and classification of breast cancer metastases in whole-slide histology images