CA2PNet: a context-aware multi-scale architecture with adaptive attention and progressive dilated convolutions for biomedical image segmentation

Background and objectivesAccurate medical image segmentation remains a challenging task in computer-aided diagnosis because of the intricacies and the variability in the biomedical data in terms of the anatomical complexity, inter-patient diversity, class imbalance, and irregular morphological patterns.MethodsIn the present work, a Context Aware Adaptive Progressive Network (CA2PNet) is proposed. The foundational architecture of CA2PNet is inspired from DeepLabV3+ and FusionNet and introduces fo