1 code implementation • 1 Dec 2023 • Afifa Khaled, Chao Li, Jia Ning, Kun He
Normalization techniques have been widely used in the field of deep learning due to their capability of enabling higher learning rates and are less careful in initialization.
1 code implementation • 9 Jun 2023 • Afifa Khaled, Ahmed A. Mubarak, Kun He
In this work, we address the above limitations by designing a new deep-learning model, called 3D-DenseUNet, which works as adaptable global aggregation blocks in down-sampling to solve the issue of spatial information loss.