Update README.md

README.md

@@ -233,12 +233,12 @@ Once nnU-Net is installed, make sure you have created the `nnUNet_results` direc
 
 Then, copy the folder **DatasetXXX_YYYYY** into the `nnUNet_results` directory.
 
-This folder contains the **trained model weights** for **thoracic aorta segmentation** in **contrast-enhanced computed tomography angiography (CTA)** images.
+This folder contains the **trained model weights** for **abdominal aorta segmentation** and **landmarks annotation** in **pre- and post-EVAR contrast-enhanced computed tomography angiography (CTA)** images.
 
 For inference, you need to specify a folder with the images in the proper nnU-Net format (see in their guide). 
 
 ```
-CUDA_VISIBLE_DEVICES=0 nnUNetv2_predict -i INPUT_FOLDER -o OUTPUT_FOLDER -d XXX -c 3d -chk checkpoint_best.pth
+CUDA_VISIBLE_DEVICES=0 nnUNetv2_predict -i INPUT_FOLDER -o OUTPUT_FOLDER -d XXX -c 3d_fullres -chk checkpoint_best.pth
 ```
 Remember, XXX defines the models you are using (i.e. 100 for pre-EVAR segmentation, 101 for pre-EVAR landmark annotation, 200 for post-EVAR segmentation, and 201 for post-EVAR landmark annotation)