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AI project seeks methods for stenosis detection in coronary angiograms

By PulseAugur Editorial · [1 sources] ·

A user on r/MachineLearning is seeking advice for a project focused on detecting stenoses in coronary angiograms. They are exploring methods beyond initial YOLO attempts, considering a radius profile along the vessel combined with a filtering network. A significant challenge highlighted is the evaluation of the model's performance, given that ground truth annotations from doctors are often incomplete, making accurate recall calculation difficult. The user is also requesting recommendations for relevant papers, repositories, and public datasets. AI

IMPACT This project could lead to improved AI tools for medical diagnosis, though it is currently a specific application rather than a broad industry trend.

RANK_REASON User seeking advice on applying ML to a specific medical imaging problem.

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI project seeks methods for stenosis detection in coronary angiograms

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Tool
User seeking advice on applying ML to a specific medical imaging problem.
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High
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1 days old
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COVERAGE [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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