U. Côté-Allard

Integrating domain-specific convolutional features with Swin Transformers for transparent cervical cancer diagnostics

Introduction Cervical cancer screening relies heavily on manual cytopathological evaluation, which is subjective and prone to inter-observer variability. While deep learning offers automated alternatives, existing models often struggle to capture both global cellular context and fine-grained biological nuances. To addr...