Update README.md

README.md

@@ -1,26 +1,30 @@
 ---
-title: "LUNA25_TS_lung_nodules"
+title: "LUNA25_TS_seg"
 license: cc-by-nc-sa-4.0
 configs:
 - config_name: metadata
   data_files: "metadata.csv"
 ---
 
-# LUNA25 TS_lung_nodules
+# LUNA25 TS Segmentations
 
-The [LUNA25 challenge](https://luna25.grand-challenge.org/) serves as a benchmark for lung nodule detection in low-dose CT scans. In the absence of segmentation labels, the `lung_nodules` task from TotalSegmentator is used to generate segmentation masks. Note: Nodules are automatically extracted, and have not been manually verified.
+The [LUNA25 challenge](https://luna25.grand-challenge.org/) serves as a benchmark for evaluating lung nodule detection in low-dose CT scans. This repository includes segmentations generated using [TotalSegmentator](https://github.com/wasserth/TotalSegmentator) for the `total`, `lung_vessels`, and `lung_nodules` tasks. Note: Segmentation volumes have not been independently verified and are supplied "as is".
 
 ## Steps to recreate
 
 1. Use `scripts/convert_nifti.py` and `scripts/convert_nifti.sh` to convert LUNA25 `.mha` files to `.nii.gz`.
-2. Install [TotalSegmentator](https://github.com/wasserth/TotalSegmentator) and run `scripts/ts_lung_nodules.sh`.
-3. Run `scripts/get_metadata.py` to get all detected nodule info.
-4. Optional: run `scripts/ts_total.py` for TS `total` task and `scripts/ts_lung_vessels.py` for TS `lung_vessels` task.
+2. Install [TotalSegmentator](https://github.com/wasserth/TotalSegmentator).
+3. Run TS segmentation scripts (written for parallel execution):
+	- `scripts/ts_total.sh`
+	- `scripts/ts_lung_vessels.sh`
+	- `scripts/ts_lung_nodules.sh`
+4. Run `scripts/get_metadata.py` to get metadata for detected lung nodules.
 
 ```text
-Date installed: Mar 6, 2025.
-Python version: 3.9.15
-TotalSegmentator version: 2.7.0 
+Installation Info:
+- Date installed: Mar 6, 2025.
+- Python version: 3.9.15
+- TotalSegmentator version: 2.7.0 
 ```
 
 For full list of package versions, see [requirements.txt](requirements.txt).