Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation

Javier Pérez de Frutos, André Pedersen, Egidijus Pelanis +5

Purpose: This study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging. Methods: Differe…