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English(EN) Stenosis detection in coronary angiograms, need recall over precision [D]

AI项目寻求冠状动脉造影中狭窄的检测方法

作者 PulseAugur 编辑部 · [1 个来源] ·

一位来自r/MachineLearning的用户正在为一项专注于检测冠状动脉造影中狭窄的项目寻求建议。他们正在探索除最初的YOLO尝试之外的方法，考虑沿血管进行半径剖面分析并结合一个过滤网络。一个突出的挑战是模型性能的评估，因为医生提供的真实情况标注通常不完整，导致难以准确计算召回率。用户还请求推荐相关的论文、代码库和公开数据集。 AI

影响 该项目有可能改进用于医学诊断的AI工具，尽管目前它是一个特定应用，而非广泛的行业趋势。

排序理由 用户寻求关于将机器学习应用于特定医学影像问题的建议。

在 r/MachineLearning 阅读 →

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AI项目寻求冠状动脉造影中狭窄的检测方法

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用户寻求关于将机器学习应用于特定医学影像问题的建议。
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1 days old
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报道来源 [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Future-Structure-296 ·

    Stenosis detection in coronary angiograms, need recall over precision [D]

    <!-- SC_OFF --><div class="md"><p>Starting a project to detect candidate stenoses in x-ray coronary angiograms. The goal is high recall, false positives are fine as long as it doesn't flag half the image.</p> <p>I already tried YOLO on a couple of in-house datasets earlier. It lo…

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