mlsanityData to 13 Oct 2026

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

arXiv 2411.16890 ↗First posted 25 Nov 2024eess.IV cs.CVcited by 0

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Abstract (arXiv)

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.

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References · 3

  1. 2020Fourier Neural Operator for Parametric Partial Differential Equationscited by 2,857
  2. 2022A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysiscited by 29
  3. 2019Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learningcited by 13

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