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Architectural and Regularization Components in Deep Learning Medical Image Registration: Systematic Ablation Study

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.05484v1 Announce Type: new Abstract: Deep learning registration methods routinely stack two kinds of enhancement on a base network: architectural additions such as affine pre-alignment stages, and training-objective additions such as regularization losses. Papers tend to adopt both at on…

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  1. 2026-09-09 04:00 · arXiv cs.CV
    Architectural and Regularization Components in Deep Learning Medical Image Registration: Systematic Ablation Study

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