arXiv:2411.16890 · v2

U-WNO:U-Net-enhanced Wavelet Neural Operator for fetal head segmentation

首次提交 2024-11-26 03:48

版本更新 2026-11-09 21:18

雷达观测 2026-11-10 15:22

摘要

This article describes the development of a novel U-Net-enhanced Wavelet Neural Operator (U-WNO),which combines wavelet decomposition, operator learning, and an encoder-decoder mechanism. This approach harnesses the superiority of the wavelets in time frequency localization of the functions, and the combine down-sampling and up-sampling operations to generate the segmentation map to enable accurate tracking of patterns in spatial domain and effective learning of the functional mappings to perform regional segmentation. By bridging the gap between theoretical advancements and practical applications, the U-WNO holds potential for significant impact in multiple science and industrial fields, facilitating more accurate decision-making and improved operational efficiencies. The operator is demonstrated for different pregnancy trimesters, utilizing two-dimensional ultrasound images.

作者备注：The authors have decided to withdraw this preprint as the work is no longer being actively pursued in its current form.