Learning multi-scale feature representations is essential for medical image segmentation. Most existing frameworks are based on U-shape architecture in which the high-resolution representation is recovered progressively by connecting different levels of the decoder with the low-resolution representation from the encoder. However. intrinsic defects in complementary feature fusion inhib... https://www.incredibleindiatourtravels.com/