The dataset is available from a google drive link:
Dataset description
After downloading the dataset, you will have 405 PNG files (cropped regions of interest from 455 individual tumor cases), and a database in two formats.The database is available as sqlite (SlideRunner format) and as json (MS COCO format). For an example of how to interpret this format, please see the notebook below.
The assignment of the tumor cases to the files is as follows:
| Cases | Cancer type | Species | Other information (scanner, image source, etc.) |
| 001.tiff to 150.tiff | breast cancer | human | UMC Utrecht, scanned with three different scanners (see MIDOG 2021) |
| 151.tiff to 194.tiff | lung carcinoma | canine | VetMedUni Vienna, scanned with 3DHistech Pannoramic Scan II |
| 195.tiff to 249.tiff | lymphoma | canine | VetMedUni Vienna, scanned with 3DHistech Pannoramic Scan II |
| 250.tiff to 299.tiff | mast cell tumor | canine | FU Berlin, scanned with Aperio ScanScope CS2 |
| 300.tiff to 354.tiff | neuroendocrine tumor | human | UMC Utrecht, scanned with Hamamatsu XR |
| 355.tiff to 405.tiff | melanoma | human | UMC Utrecht, scanned with Hamamatsu XR (no labels provided for this domain) |
In total, the training set contains 9501 mitotic figures and 11051 non-mitotic figure annotations (hard negatives). The hard negatives are provided as they are part of our annotation process and may be helpful within sampling schemes.
Getting started: The notebook
To get you started, there is an explanatory notebook on Google Colab that we really recommend for first steps:
The notebook comprises the following:
- Statistical overview of the data set
- An in-depth view into the dataset
Dear Katharina,
Thanks so much for the great contest again, I’m here again, I have a question, on the final test set, do I know the type of cancer in each image?
Sen
Dear Sen,
no, the cancer type will not be disclosed, and they will be also different from the types here.
Best,
Marc
Dear Marc,
Thanks,We can directly participate in this competition, those who participated in the previous competition？
Thanks
Sen
Dear Sen,
sorry for not replying any sooner. Yes, please sign up to the MIDOG 2022 challenge on grand-challenge.org and you are good to go (since you are a verified user of grand-challenge.org, you can sign up without further approval).
Best,
Marc
Hello Marc,
is it possible to upload 357.tiff and 362.tiff to google-drive?
thanks,
Jonas
Hey Jonas,
they have been deleted on purpose. Have you read this blog post? https://imig.science/midog/2022/07/06/duplicates-in-the-unlabeled-part-of-the-training-set/
Best,
Marc
Hey Marc,
ah sorry, I have not read it.
Thanks
No worries 🙂
Best,
Marc