Add link to paper (#3)

- Add link to paper (d6e4abc9bb3bea77046970ba78f529a73cf3a679)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,19 +1,20 @@
 ---
 license: cc-by-nc-4.0
+size_categories:
+- 1M<n<10M
+task_categories:
+- image-segmentation
+- mask-generation
 tags:
 - lesion-segmentation
 - lesion-tracking
 - real-time
 - cine-MRI
 - radiotherapy
-task_categories:
-- image-segmentation
-- mask-generation
-size_categories:
-- 1M<n<10M
 challenge_homepage: https://trackrad2025.grand-challenge.org/trackrad2025/
 challenge_repository: https://github.com/LMUK-RADONC-PHYS-RES/trackrad2025/
 ---
+
 ### **The dataset 🗃️**
 Overall, the TrackRAD2025 challenge provides over **2.8 million unlabeled** sagittal cine-MRI frames from 477 individual patients, and over **10,000 labeled** sagittal cine-MRI frames 
 (+8000 from frames with multiple observers) from 108 individual patients. Precisely,
@@ -132,12 +133,12 @@ For training, centers A, B and C provided both unlabeled and manually labeled da
 | Labeled          | 2       |   2    |				
 
 | 1.5 T MRI-linac  | B       | C      | Total  |
-|------------------|---------|--------|--------|
+|------------------|---------|--------|
 | Labeled          | 3       | 3      |  6     |
 
 ##### *Final testing set*
 | 0.35 T MRI-linac | A       |  D     | Total  |
-|------------------|---------|--------|--------|
+|------------------|---------|--------|
 | Labeled          | 5       |  20    |  25    |				
 
 | 1.5 T MRI-linac  | B       | C      |  X     | Total  |
@@ -193,4 +194,4 @@ The following pre-processing steps were performed on the data:
 - Anonymization
 - Reshaping and orientation correction
 - Resampling to 1x1 mm2 in-plane pixel spacing
-- Conversion to 16-bit unsigned integer
+- Conversion to 16-bit unsigned integer