Clinically Informed Colour Encoding Improves the Localisation and Stability of Explanations in Deep Learning ECG Models: External Validation in a UK Biobank Epilepsy Cohort
A UK Biobank epilepsy cohort provides external validation of colour-encoded ECG explanations
Objective: It is not known whether the input representation governs the quality of explanations of deep learning models for electrocardiogram analysis.
ArXiv CS.CV
Source
Generated insight by OnAirToday AI
How ECG data are encoded may affect whether model explanations identify relevant signal regions consistently. Testing this in an external epilepsy cohort addresses whether those explanations remain reliable beyond the model’s original evaluation setting.
Key takeaways
Generated insight by OnAirToday AI
- Clinically Informed Colour Encoding Improves the Localisation and Stability of Explanations in Deep Learning ECG Models: External Validation in a UK Biobank Epilepsy Cohort
- Objective: It is not known whether the input representation governs the quality of explanations of deep learning models for electrocardiogram analysis.
- A UK Biobank epilepsy cohort provides external validation of colour-encoded ECG explanations
Why it matters: Clinically Informed Colour Encoding Improves the Localisation and Stability of Explanations in Deep Learning ECG Models: External Validation in a UK Biobank Epilepsy Cohort
Comments
Keep comments relevant and respectful. No links, advertising, self-promotion, or spam.