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English(EN) Anatomy-Guided Foundation Model Adaptation with Within-Case Prototype Supervision for Standard Plane Detection in Fetal Ultrasound Blind Sweeps

AnatoProto框架改进胎儿超声平面检测

研究人员开发了AnatoProto,一个旨在改进胎儿超声图像标准平面检测的新型框架,特别是在具有挑战性的低成本盲扫中。该方法通过结合解剖加权空间池化和病例内原型损失来适应冻结的BiomedCLIP编码器,利用病例级结构增强帧嵌入。该框架还包括一个三阶段级联细化和一个混合预测头,以减少假阳性,在ACOUSLIC-AI基准测试上达到了67.72的测试F1分数,显著优于现有基线。 AI

影响 提高胎儿超声成像的诊断准确性,可能改善产前护理。

排序理由 详细介绍新型框架及其在基准测试上性能的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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AnatoProto框架改进胎儿超声平面检测

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详细介绍新型框架及其在基准测试上性能的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yuzhe Zhao ·

    面向胎儿超声盲扫标准平面检测的解剖引导基础模型适应与病例内原型监督

    arXiv:2608.27051v1 Announce Type: new Abstract: Detecting the fetal abdominal circumference standard plane in low-cost obstetric blind sweeps is a highly imbalanced frame-classification problem: positive frames account for under 3% of a sequence, form short contiguous segments, a…