DhanushS-11/Cervical_Cancer_Classification_using_NAS-DARTS_vs_ResNet

An AI project that uses Differentiable Architecture Search (DARTS) to automatically design an optimized CNN for cervical cancer cell classification using the SIPaKMeD dataset. Compares the NAS-discovered model against a ResNet baseline across accuracy, F1-score, model size, inference time, and visualizations like confusion matrices and ROC curves.

17
/ 100
Experimental
No License No Package No Dependents
Maintenance 13 / 25
Adoption 3 / 25
Maturity 1 / 25
Community 0 / 25

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Language

Python

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Category

lung-cancer-detection

Last pushed

Mar 15, 2026

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GitHub
Lung Cancer Detection · 75 frameworks

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