Article

Reliable CNN Evaluation in Medical Imaging via Variance-Aware Cross-Validation

2026-02-12

Abstract excerpt

<title>Abstract</title> <p>Reliable evaluation and generalizable hyperparameter selection remain critical challenges in deep learning–based medical image analysis, particularly under limited, imbalanced, and heterogeneous data conditions. This paper proposes a Variance-Aware K-Fold Cross-Validation framework for robust hyperparameter optimization of convolutional neural networks (CNNs). Unlike conventional single...

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Literature Corpus work: 02d3ccdf-7afd-571d-a6a5-320c1202bdb7
DOI: 10.21203/rs.3.rs-8807781/v1

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