Dynamic Contextual Attention Network: Transforming Spatial Representations into Adaptive Insights for Endoscopic Polyp Diagnosis
Journal:
arXiv
Published Date:
Apr 28, 2025
Abstract
Colorectal polyps are key indicators for early detection of colorectal
cancer. However, traditional endoscopic imaging often struggles with accurate
polyp localization and lacks comprehensive contextual awareness, which can
limit the explainability of diagnoses. To address these issues, we propose the
Dynamic Contextual Attention Network (DCAN). This novel approach transforms
spatial representations into adaptive contextual insights, using an attention
mechanism that enhances focus on critical polyp regions without explicit
localization modules. By integrating contextual awareness into the
classification process, DCAN improves decision interpretability and overall
diagnostic performance. This advancement in imaging could lead to more reliable
colorectal cancer detection, enabling better patient outcomes.
