Merge pull request #10 from nucli-vicky/minor-corrections

Add DeepPSMA suggested dataset + minor doc corrections

Author: ChristianHinge

docs/rules.md

@@ -8,7 +8,7 @@ This document describes the rules governing participation in the Big Cross-Modal
 
 **Additional training data is allowed.** as long as it was released, publicly available and accessible to all participants without restrictions prior the start of the challenge (April 1st). Private datasets are NOT allowed. The use of public datasets must be disclosed in the submitted methodology paper. Please see [tips-and-faq.md](tips-and-faq.md) for suggested public datasets. If you are unsure whether a particular dataset fulfills the above criteria, please send an email to bic-mac-challenge@outlook.com. 
 
-**Pretrained networks are allowed** if they were publicly available and accessible to all participants without restructions (e.g. on GitHub, Huggingface, Zenodo, or a comparable platform) *prior to the start of the challenge* (April 1st) . You may use these as initialization, feature extractors or preprocessing, but the fine-tuning data must be limited to the provided dataset.
+**Pretrained networks are allowed** if they were publicly available and accessible to all participants without restrictions (e.g. on GitHub, Huggingface, Zenodo, or a comparable platform) *prior to the start of the challenge* (April 1st) . You may use these as initialization, feature extractors or preprocessing, but the fine-tuning data must be limited to the provided dataset.
 
 **Any preprocessing, manual labelling or augmentation of the BIC-MAC dataset and public datasets is allowed**, as long as it does not conflict with the other rules or the BIC-MAC Data User Agreement.
 

docs/tips-and-faq.md

@@ -3,7 +3,7 @@
 
 ### PET/CT
 > Note that all PET images in the following datasets are attenuation corrected (usually by the accompanying CT), which means that the PET may encode some of the CT information.
-- [Vienna QUADRA_HC](https://zenodo.org/records/16588733) 100 whole-body 18F-FDG PET/CT studies from 50 participants. Like BIC-MAC, the PET/CT is acquired on a Siemens Biograph Vision Quadra and the participants are healthy controls. [citation](https://www.nature.com/articles/s41597-025-05997-4)
+- [Vienna QUADRA_HC](https://zenodo.org/records/16588733) 96 whole-body 18F-FDG PET/CT studies from 48 participants. Like BIC-MAC, the PET/CT is acquired on a Siemens Biograph Vision Quadra and the participants are healthy controls. [citation](https://www.nature.com/articles/s41597-025-05997-4)
 
 - [AutoPET V](https://fdat.uni-tuebingen.de/records/0zs4c-89f12) 1014 whole-body 18F-FDG PET/CT studies, 597 PSMA PET/CT studies [citation](https://www.nature.com/articles/s41597-022-01718-3)
 
@@ -15,6 +15,8 @@
 
 - [Lung-PET-CT-Dx](https://www.cancerimagingarchive.net/collection/lung-pet-ct-dx/) 436 whole-body (no head) 18F-FDG PET/CT studies [citation](https://doi.org/10.7937/TCIA.2020.NNC2-0461)
 
+- [Deep-PSMA](https://zenodo.org/records/15281784) 100 whole-body PSMA and 18F-FDG PET/CT studies [citation](https://doi.org/10.5281/zenodo.15281783)
+
 ### MRI/CT
 
 - [SynthRAD2025](https://zenodo.org/records/14918089) 890 paired MRI–CT and 1,472 CBCT–CT sets covering head-and-neck, thorax, and abdomen from 5 European university medical centers. [citation](https://arxiv.org/abs/2502.17609)