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

Fuente: arXiv
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Autores principales: Seth, Pranava, Mishra, Deepak, Iyer, Veena
Formato: Preprint
Publicado: 2024
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author Seth, Pranava
Mishra, Deepak
Iyer, Veena
author_facet Seth, Pranava
Mishra, Deepak
Iyer, Veena
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2411_16890
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle U-WNO:U-Net-enhanced Wavelet Neural Operator for fetal head segmentation
Seth, Pranava
Mishra, Deepak
Iyer, Veena
Image and Video Processing
Computer Vision and Pattern Recognition
68T10, 68T07
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.
title U-WNO:U-Net-enhanced Wavelet Neural Operator for fetal head segmentation
topic Image and Video Processing
Computer Vision and Pattern Recognition
68T10, 68T07
url https://arxiv.org/abs/2411.16890