Attempt to detect cervical cancer with pap smear examination are prone to errors because it is done manually. In this case, a medical image processing system is needed to reduce cervical cancer misdiagnosis by applying semantic image segmentation using Convolutional Neural Network (CNN) method. One of the CNN architectures that has good performance in biomedical image segmentation is U-Net. Som…