Convolutional neural network-based segmentation network applied to image recognition of angiodysplasias lesion under capsule endoscopy

Figure 3 Change process of loss, pixel accuracy and mean intersection over union. A: Comparation of the pixel accuracy (PA) values of each model during training. The abscissa represents the number of training iterations, and the ordinate represents the value of PA; B: Comparation of the mean intersection over union (mIOU) values of each model during training. The abscissa represents the number of training iterations, and the ordinate represents the value of mIOU; C: Comparation of the loss value of each model in the training process. The abscissa represents the number of training iterations, and the ordinate represents the loss value. PA: Pixel accuracy; mIOU: Mean intersection over union.