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A dual-modality computational pipeline integrating machine learning and deep neural networks for modelling Drosophila cardiac ageing and disease

2025-11-07

Abstract excerpt

<title>Abstract</title> <p> High-speed optical microscopy of Drosophila hearts has become an essential approach for modeling cardiovascular disease and aging. However, manual evaluation of cardiac function is time-consuming, subjective, and error-prone, highlighting the need for reliable computational frameworks. <bold/> Here, we present an end-to-end dual-modality pipeline that combines segmentation-derived c...

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Literature Corpus work
6193cf3e-1f87-595f-8975-6e0efe2c1a38
DOI
10.21203/rs.3.rs-7558048/v1
Open publication

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A dual-modality computational pipeline integrating machine learning and deep neural networks for modelling Drosophila cardiac ageing and diseaseDOI 10.21203/rs.3.rs-7558048/v1
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