Article

Enhanced Cervical Cancer Classification Using Convolutional Tsetlin Machines with Transfer Learning

2025-04-02

Abstract excerpt

<title>Abstract</title> <p>Cervical cancer remains a major global health concern, particularly in low-resource settings where access to skilled diagnostic personnel is limited. While Pap smear screening plays a vital role in early detection, manual analysis is time-consuming, error-prone, and subject to inter-observer variability. This study presents a novel hybrid model for cervical cancer classification that co...

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Literature Corpus work: 4893ca0a-8f50-50d3-ba7d-3606ee1f2b13
DOI: 10.21203/rs.3.rs-5655927/v1

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