Update README.md

README.md

@@ -72,18 +72,13 @@ This project does not aim to replace medical staff in diagnosing Alzheimer's des
 The MRI data was gathered from the Alzheimer’s Desease Neuroimaging Initiative (ADNI) Database.
 Afterwards, the data was splitted into one folder for each class.
 
-Split into train/test 
-The data was splitted using the 60% for training, 20% for validation and 20% for testing
-
-The model has been trained to classify waste into 3 classes. 
-The dataset used for the training consisted of 2527 images:
-- 501 glass
-- 594 paper
-- 403 cardboard
-- 482 plastic
-- 410 metal
-- 137 trash
+The full dataset used consisted of 1614 NIfTI files and the model has been trained to classify MRI into 3 classes:
+- 328 Alzheimer's Desease
+- 799 Mild Cognitive Impairment
+- 487 Control
 
+Split into train/test
+The data was then splitted using the 60% for training, 20% for validation and 20% for testing
 
 ### Training Procedure