21 citations · 31 across the 10 of their papers we have counts for
6 papers · 1 filter
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…
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…
Large Language Models for Healthcare Text Classification: A Systematic Review
Hajar Sakai, Sarah S. Lam
Large Language Models (LLMs) have fundamentally transformed approaches to Natural Language Processing (NLP) tasks across diverse domains. In healthcare, accurate and cost-efficient…
QUAD-LLM-MLTC: Large Language Models Ensemble Learning for Healthcare Text Multi-Label Classification
Hajar Sakai, Sarah S. Lam
The escalating volume of collected healthcare textual data presents a unique challenge for automated Multi-Label Text Classification (MLTC), which is primarily due to the scarcity…
BEYONDWORDS is All You Need: Agentic Generative AI based Social Media Themes Extractor
Mohammed-Khalil Ghali, Abdelrahman Farrag, Sarah Lam +1
Thematic analysis of social media posts provides a major understanding of public discourse, yet traditional methods often struggle to capture the complexity and nuance of unstructu…