small changes in references and hours used for training

README.md

@@ -379,12 +379,12 @@ SMA: superior mesenteric artery; AAA: abdominal aortic aneurysm. C1: Training se
 Training and validation of these models was done in a HPC node with two RTX 3090, 128 GB of VRAM
 
 * **Hours used:**  
-2 days and 12 hours (12 hours per fold in two separate GPUs)
+10 days for all models. 
 
 ---
 
 # References 
 
-Garrido-Oliver J., Tenezaca-Sari X., Ribeiro T. et al, Comprehensive Artificial Intelligence Based Analysis of Pre- and Postoperative Computed Tomography Scans in Patients Undergoing Endovascular Abdominal Aortic Repair. Eur J Vasc Endovasc Surg (2026). https://doi.org/10.1016/j.ejvs.2026.09.035.
+Garrido-Oliver, J., Tenezaca-Sari, X., Ribeiro, T. et al, Comprehensive Artificial Intelligence Based Analysis of Pre- and Postoperative Computed Tomography Scans in Patients Undergoing Endovascular Abdominal Aortic Repair. Eur J Vasc Endovasc Surg (2026). https://doi.org/10.1016/j.ejvs.2026.09.035.
 
 Isensee, F., Jaeger, P.F., Kohl, S.A.A. et al. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat Methods 18, 203–211 (2021). https://doi.org/10.1038/s41592-020-01008-z