mlsanityData to 14 Oct 2026

Structure-Augmented Standard Plane Detection with Temporal Aggregation in Blind-Sweep Fetal Ultrasound

arXiv 2604.20591 ↗First posted 22 Apr 2026cs.CVcited by 0

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Abstract (arXiv)

In low-resource settings, blind-sweep ultrasound provides a practical and accessible method for identifying fetal growth restriction. However, unlike freehand ultrasound which is subjectively controlled, detection of biometry plane in blind-sweep ultrasound is more challenging due to the uncontrolled fetal structure to be observed and the variaties of oblique planes in the scan. In this work, we propose a structure-augmented system to detect fetal abdomen plane, where the abdominal structure is highlighted using a segmentation prior. Since standard planes are emerging gradually, the decision boundary of the keyframes is unstable to predict. We thus aggregated the structure-augmented planes with a temporal sliding window to help stabilise keyframe localisation. Extensive results indicate that the structure-augmented temporal sliding strategy significantly improves and stabilises the detection of anatomically meaningful planes, which enables more reliable biometric measurements in blind-sweep ultrasound.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 18 references that are in the map. First posted on arXiv 22 Apr 2026.

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References · 8

  1. 2016Feature Pyramid Networks for Object Detectioncited by 5,036
  2. 2017Squeeze-and-Excitation Networkscited by 4,789
  3. 2016Categorical Reparameterization with Gumbel-Softmaxcited by 2,739
  4. 2023BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairscited by 520
  5. 2019Video Object Segmentation using Space-Time Memory Networkscited by 438
  6. 2016SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasoundcited by 71
  7. 2024MMSummary: Multimodal Summary Generation for Fetal Ultrasound Videocited by 9
  8. 2020Transformer with Bidirectional Decoder for Speech Recognitioncited by 7

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