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
Over the years, researchers have proposed multiple approaches to reduce the number of parameters Deep Learning models have.Due to the complexity of compressing models, some authors have opted to train Reinforcement Learning agents that learn how to compress a particular model without losing considerable accuracy.Nonetheless, training an agent for e
The fern Dicranopteris dichotoma is an important pioneer species of the understory in Masson pine (Pinus massoniana) forests growing on acidic soils in the subtropical and tropical China.To improve our understanding of the role of D.dichotoma in nitrogen (N) uptake of these forests, a short-term (15)N experiment was conducted at mountain ridge (MR,
Most publications justify that digitalization is a source of economic growth, to a greater extent in the countries with higher levels of economic development.However, some papers fail to find empirical evidence supporting this claim, attributing it to digitalization being in its initial stages or to the presence of the digitalization paradox.Econom