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Selective Prediction and Uncertainty-Aware Referral for Pap Smear Classification
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selective predictionuncertainty estimationdeep learningcervical cytology
2609.17545
Builder Relevance
1h ago70%
Abstract
This paper explores selective prediction and uncertainty-aware referral in cervical cytology classification, emphasizing the importance of confidence in predictions.
Reality Card
Core Claim
The ensemble model halves the area under the risk-coverage curve (AURC) and significantly extends the coverage at which zero errors are made.
Method / Result
AURC reduced from 0.0045 to 0.0022, a 51.8% reduction.
Limitations
The ensemble model is worse calibrated in absolute terms and produces more false negatives.
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