Datasets:

AbdomenAtlas
/

MerlinPlus

@@ -1,13 +1,20 @@
 # Merlin Plus
 This repository provides Merlin Plus, per-voxel annotations for organs and other anatomical structures in the 25,494 CT scans of the Merlin dataset (Stanford). The per-voxel annotations were created by AI models trained on more than 14,000 CT scans at Johns Hopkins University.
 The Merlin Plus annotations were created as part of a collaboration between the Merlin Project at Stanford and the R-Super Project at Johns Hopkins University. R-Super is a novel AI training methodology that uses radiology reports and organ annotations to significantly improve tumor-segmentation AI. Merlin Plus makes R-Super easily reproducible for the medical AI community.
 >[!NOTE]
 >See the [Report Supervision (R-Super) GitHub](https://github.com/MrGiovanni/R-Super) to discover how you can use Merlin Plus to improve **tumor segmentation**!
-Merlin Plus includes per-voxel annotations for organs, blood vessels, organ parts (liver and pancreas sub-segments), and ducts:
 <details>
 <summary style="margin-left: 25px;">Class List</summary>
@@ -62,7 +69,7 @@ superior mesenteric vein
 </details>
-Merlin Plus presents annotations for the CT scans in the original Merlin dataset. To download these CT scans, please visit this website: https://stanfordaimi.azurewebsites.net/datasets/60b9c7ff-877b-48ce-96c3-0194c8205c40
 ### Merlin Dataset
 Merlin Abdominal CT Dataset is an abdominal CT dataset consisting of 25,494 scans from 18,317 patients. Each scan is paired with its corresponding radiology report. The dataset includes abdominal and pelvis CT exams conducted between 2012 and 2018 at the Stanford Hospital Emergency Department, selected using CPT codes (72192, 72193, 72194, 74150, 74160, 74170, 74176, 74177, and 74178) through the STARR tool. For each exam, the DICOM series with the largest slice count was converted into NIfTI format, compressing the scans and removing patient-identifiable metadata.

+<p align="center">
+  <img src="https://github.com/MrGiovanni/R-Super/raw/main/documents/r_super_pdac-8.gif"
+       alt="R-Super PDAC demo animation"
+       width="400">
+</p>
 # Merlin Plus
 This repository provides Merlin Plus, per-voxel annotations for organs and other anatomical structures in the 25,494 CT scans of the Merlin dataset (Stanford). The per-voxel annotations were created by AI models trained on more than 14,000 CT scans at Johns Hopkins University.
 The Merlin Plus annotations were created as part of a collaboration between the Merlin Project at Stanford and the R-Super Project at Johns Hopkins University. R-Super is a novel AI training methodology that uses radiology reports and organ annotations to significantly improve tumor-segmentation AI. Merlin Plus makes R-Super easily reproducible for the medical AI community.
 >[!NOTE]
 >See the [Report Supervision (R-Super) GitHub](https://github.com/MrGiovanni/R-Super) to discover how you can use Merlin Plus to improve **tumor segmentation**!
+- Merlin Plus includes per-voxel annotations for organs, blood vessels, organ parts (liver and pancreas sub-segments), and ducts:
 <details>
 <summary style="margin-left: 25px;">Class List</summary>
 </details>
+- Merlin Plus presents annotations for the CT scans in the original Merlin dataset. To download these CT scans, please visit this website: https://stanfordaimi.azurewebsites.net/datasets/60b9c7ff-877b-48ce-96c3-0194c8205c40
 ### Merlin Dataset
 Merlin Abdominal CT Dataset is an abdominal CT dataset consisting of 25,494 scans from 18,317 patients. Each scan is paired with its corresponding radiology report. The dataset includes abdominal and pelvis CT exams conducted between 2012 and 2018 at the Stanford Hospital Emergency Department, selected using CPT codes (72192, 72193, 72194, 74150, 74160, 74170, 74176, 74177, and 74178) through the STARR tool. For each exam, the DICOM series with the largest slice count was converted into NIfTI format, compressing the scans and removing patient-identifiable metadata.