Deep Learning, Artificial Intelligence, Medical Imaging, Medical Image Analysis, Image Segmentation.
requirement while the proposed Inception U-Net model consisting of the stack of convolution, inception, and hybrid pooling layers with total trainable parameters of only 3.6M. 2.1. Qualitative Results Comparison of segmentation results among U-Net, U-Net++, and Inception U-Net for KDSB18. Reference