Month: January 2022

Two-Scale Multimodal Medical Image Fusion Based on Structure Preservation

Medical image fusion has an indispensable value in the medical field. Taking advantage of structure-preserving filter and deep learning, a structure preservation-based two-scale multimodal medical image fusion algorithm is proposed. First, we used a two-scale decomposition method to decompose source images into base layer components and detail layer components. Second, we adopted a fusion method […]

Published on January 31, 2022

The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions

Biological learning systems are outstanding in their ability to learn from limited training data compared to the most successful learning machines, i.e., Deep Neural Networks (DNNs). What are the key aspects that underlie this data efficiency gap is an unresolved question at the core of biological and artificial intelligence. We hypothesize that one important aspect […]

Published on January 31, 2022