Update README.md

README.md

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 # Coronary Artery Dataset (CCA)
 
 
-This dataset collects many cases of CTA images with coronary artery disease named the CCA dataset.
+This dataset, named the CCA dataset, consists of 200 cases of CTA images depicting coronary artery disease. 
+Out of these cases, 20 were allocated for training purposes, while the remaining 180 cases were reserved for testing. 
+We have made our training dataset publicly available for further use.
 
-cite:
+The collected images are acquired with an isotropic resolution of 0.5 mm. 
+Four radiologists participated in annotating the coronary artery internal diameter of 200 cases as ground truth,
+that each case was independently labelled by three radiologists and the remaining radiologist selected 
+the best one among three annotations. 
+The cases were shuffled randomly and organized into a queue. 
+Once a radiologist labelled a case, they were assigned the subsequent case based on the random order 
+of the queue. This process guaranteed that each case received labels from three distinct radiologists. 
+Importantly, each radiologist remained unaware of the labels assigned by the other two radiologists, 
+ensuring the masking of the labels during the assessment. After three radiologists have finished 
+labeling, the remaining radiologist examines and selects the best one of three labels, 
+completing the combining of the radiologists’ decisions.
+
+
+If you use this dataset, please cite:
 
 ```bibtex
 @misc{yang2023segmentation,