In medical image segmentation, significant feature differences exist between medical images with different acquisition parameters or modes, leading to decreased performance of deep neural networks in ...

Supervised deep learning neural networks provide an accurate method for synthetic aperture radar (SAR) image semantic segmentation, but require training that relies heavily on high-quality labeled ...