Machine Learning, Health Technology, Image Segmentation, Image Recognition, AI.
using those existing weights results in faster training times. Training and Results We trained the model with 10 epochs in batches of 32, using the ADAM optimizer, a learning rate of 0.001, and a Dice loss function. Since the output of this model comprises segmentations (i.e., segmented regions of