By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Medical image registration is essential for integrating information from diverse imaging modalities for clinical diagnosis and treatment planning. Despite significant advancements, achieving efficient ...

Transfer learning is a critical technique in training deep neural networks to tackle downstream tasks with better or faster solutions, by leveraging previously acquired knowledge. This is especially ...