20250165791. Deep Learning-based Coregistratio (ARTERYS .)

DEEP LEARNING-BASED COREGISTRATION

Abstract: systems and methods for providing a novel framework for unsupervised coregistration using convolutional neural network (cnn) models. the cnn models may perform image coregistration using fully unsupervised learning. advantageously, the cnn models may also explicitly stabilizes images or transfers contour masks across images. global alignment may be learned via affine deformations in addition to a dense deformation field, and an unsupervised loss function may be maintained. the cnn models may apply an additional spatial transformation layer at the end of a transformation step, which provides the ability to fine-tune previously predicted transformation so that the cnn models may correct previous transformation errors.

Inventor(s): Berk Dell Norman, Sean Patrick Sall, Jesse Lieman-Sifry, Martin Simonovsky, Daniel Irving Golden, Hok Kan Lau

CPC Classification: G06N3/088 (Non-supervised learning, e.g. competitive learning)

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