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Author:   Jieyun Bai ,  Yaosheng Lu
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   15689
ISBN:  

9783031963179

ISBN 10:   3031963172
Pages:   126
Publication Date:   12 August 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Baseline Method at the Intrapartum Ultrasound Grand Challenge 2024.- Classification and Segmentation of Intrapartum Ultrasound Images with Deep Learning Models.- Accurate Fetal Head Descent Assessment During Labor Using Video Swin Transformer and Wavelet-Based Multitask Learning for 2024 MICCAI Challenge IUGC.- DSSAU-Net:U-Shaped Hybrid Network for Pubic Symphysis and Fetal Head Segmentation.- Intrapartum Ultrasound Grand Challenge, MICCAI 2024.- Multi-Frequency Attention Approach for Enhanced Ultrasound Image Segmentation.- Multi-Task Weakly Supervised Intrapartum Ultrasound Measurements.- Evaluation of the Video-based Network for Angle of Progression Measurement.- Estimation of Labor Progress Parameters on Intrapartum Transperineal Ultrasound Images via Multi-Path Refinement U-Net Combining Recurrent Residuals and Attention.

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