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Explainable Two-Phase Transfer Learning for Accurate Multi-Class Cervical Cell Classification from Optical Microscopy Images

2026-06-09

Abstract excerpt

<title>Abstract</title> <p>Cervical cancer remains a significant global health concern, emphasizing the need for accurate and reliable automated cytology screening systems. Although deep learning has demonstrated strong potential for cervical cell analysis, many existing approaches suffer from limited interpretability and inconsistent generalization. This study proposes an explainable two-phase transfer learning...

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Literature Corpus work: 2fbee02c-eaaf-5cca-beaf-012bec827071
DOI: 10.21203/rs.3.rs-9256261/v1

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