Article

Enhanced Cellular Detection in Cervical Cytopathology: A Systematic Study of YOLOv11 Training Paradigms

2026-04-13

Abstract excerpt

Automated cellular detection using deep learning is a key strategy for optimising cervical cancer screening by reducing the healthcare workload and inter-observer variability. However, analyzing Whole Slide Image (WSI) patches presents challenges like annotation scarcity, morphological complexity, and class imbalance. This study conducts a systematic evaluation of YOLOv11 (n, s, and m variants) to assess the impac...

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Literature Corpus work: 762a2924-0697-5819-a7f5-ab21b8081f30
DOI: 10.20944/preprints202604.0827.v1

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