9 papers
Segmentation and Classification of Pap Smear Images for Cervical Cancer Detection Using Deep Learning
Nisreen Albzour, Sarah S. Lam
Cervical cancer remains a significant global health concern and a leading cause of cancer-related deaths among women. Early detection through Pap smear tests is essential to reduce…
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…
KDH-MLTC: Knowledge Distillation for Healthcare Multi-Label Text Classification
Hajar Sakai, Sarah S. Lam
The increasing volume of healthcare textual data requires computationally efficient, yet highly accurate classification approaches able to handle the nuanced and complex nature of…
HAMLET: Healthcare-focused Adaptive Multilingual Learning Embedding-based Topic Modeling
Hajar Sakai, Sarah S. Lam
Traditional topic models often struggle with contextual nuances and fail to adequately handle polysemy and rare words. This limitation typically results in topics that lack coheren…