21 citations · 31 across the 10 of their papers we have counts for
4 papers · 1 filter
Selective Prediction and Uncertainty-Aware Referral for Pap Smear Classification
Nisreen Albzour, Sarah S. Lam
Deep learning models for cervical cytology are almost always evaluated as if every prediction must be acted upon, yet a screening system deployed alongside a cytopathologist need n…
Reliability-Aware Ensemble Classification Under Class Imbalance: A Calibration Study on Liquid-Based Cervical Cytology
Nisreen Albzour, Sarah S. Lam
Cervical cytology classification models are typically evaluated on curated, class-balanced benchmarks, but real-world liquid-based cytology (LBC) collections are often small and cl…
Systematic Evaluation of Vision Transformers for Automated Cervical Cancer Classification: Optimization, Statistical Validation, and Clinical Interpretability
Nisreen Albzour, Sarah S. Lam
Manual Pap smear analysis for cervical cancer screening is limited by inter-observer variability, time constraints, and restricted expert availability. Although convolutional neura…
Unsupervised Neural Network for Automated Classification of Surgical Urgency Levels in Medical Transcriptions
Sadaf Tabatabaee, Sarah S. Lam
Efficient classification of surgical procedures by urgency is paramount to optimize patient care and resource allocation within healthcare systems. This study introduces an unsuper…