Prostate158¶
A collection of prostate MR studies with expert annotations
What is Prostate158?¶
Prostate158 is a curated dataset of 3 biparametric 3 Tesla prostate MRI images for automatic segmentation of anatomical zones and carcinomatous lesions. Histopathologic confirmation is available for each cancerous lesion. All studies include a T2-weighted (T2W) and diffusion-weighted (DWI) images with apparent diffusion coefficient (ADC) maps. Images in each study were resampled so that orientation, direction, and spacing were the same.
Accessing the Prostate158 Dataset¶
The training dataset (139 MRIs) is available for download, however, the test dataset with 19 MRIs remains hiddenn. Once, trained, the models can be evaluated on the test dataset by uploading them to grand-challenge.org.
Tasks¶
There a two segmentation tasks.
- Segmentation of the central gland and peripheral zone of the prostate.
- Segmentation of prostate cancer.
The areas of tasks 1 and 2 may overlap.
Baseline¶
We have trained U-Net base models for segmentation of the anatomical zones as well as the cancer areas in the prostate images, which can serve as a basis for comparison with future approaches. The weights for the models are available at Zenodo.
Since two raters segmented the anatomical zones and the cancer areas in the test dataset, the model score is given in comparison to each rater.
Rater 1 | Rater 2 | ||||||
---|---|---|---|---|---|---|---|
Metric | Transitional Zone | Peripheral Zone | Cancer | Transitional Zone | Peripheral Zone | Cancer | |
Dice Coefficient | 0.877 | 0.754 | 0.453 | 0.875 | 0.730 | 0.398 | |
Hausdorff Distance | 18.3 | 22.8 | 36.7 | 17.5 | 33.2 | 39.5 | |
Surface Distance | 2.19 | 1.95 | 17.37 | 2.59 | 1.88 | 19.13 |
Code to reproduce the baseline can be found at: https://github.com/kbressem/prostate158