Human-like few-shot and one-shot learning of the electrocardiograms: an empirical study investigating the use of a pseudo-coloring technique to improve and explain machine vision predictions of long QT syndrome

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-25
DOI
https://doi.org/10.5281/zenodo.10865924
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Human-like few-shot and one-shot learning of the electrocardiograms: an empirical study investigating the use of a pseudo-coloring technique to improve and explain machine vision predictions of long QT syndrome

Zenodo (CERN European Organization for Nuclear Research)
ECG Monitoring and Analysis
article

Human-like few-shot and one-shot learning of the electrocardiograms: an empirical study investigating the use of a pseudo-coloring technique to improve and explain machine vision predictions of long QT syndrome

article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 38%
ECG Monitoring and Analysis
DOIOpen Access PDFOpenAlex
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Human-like few-shot and one-shot learning of the electrocardiograms: an empirical study investigating the use of a pseudo-coloring technique to improve and explain machine vision predictions of long QT syndrome · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS