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Open access Oct 2026

ACHS-CervNet: A Hybrid Stacked Deep Learning Approach for Accurate Cervical Cancer Detection and Classification

Cervical cancer remains one of the leading causes of mortality among women worldwide, and early, accurate detection is crucial for effective treatment. Conventional cytological screening suffers from inter-observer variability and limited accuracy, prompting increased adoption of artificial intelligence, Machine Learni...

V. Sushma, J. Gorabal, Sagargouda Patil · 0 citations

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