Deep Learning, Artificial Intelligence, Medical Imaging, Image Segmentation, Transformers.
Obviously, 8 and 16 are good choices that achieve accurate and fast segmentation results. (Right): Experiments are conducted with five different patch sizes: 16³, 24³, 32³, 40³, 48³. 32³ obtains the best performance and is selected as the default setting of the proposed model. Reference [2020 AAAI]