Architecture of the self-supervised CL framework used in this work. The top and left sections illustrate the image preprocessing and the tensor assembly steps. The structure of the network is shown sequentially from left to right, starting with data augmentation, then the encoder block, and lastly the projection head. Red and green arrows indicate the contrastive loss computation, which measures similarity between random pairs of augmented images.