A probabilistic deep motion model for unsupervised cardiac shape anomaly assessment

Arezoo Zakeri,Alireza Hokmabadi,Nishant Ravikumar,Alejandro F Frangi,Ali Gooya

Medical Image Analysis（2022）

引用 2|浏览7

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摘要

•A probabilistic spatiotemporal anomaly detection method suitable for high-dimensional data•Expectation-Maximisation-based learning is proposed to soft cluster outlier cardiac shapes•Shapes showing excessive deviation from ’normality’ can indicate pathology or poor shape quality•Potential use to sift pathologies that affect cardiac shape among a large-scale dataset

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关键词

Cardiac shape quality control,Deep learning,Expectation-maximisation,Probabilistic model,Spatio-temporal anomaly detection,UK Biobank

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