Fig. 2
From: Hierarchical contextual information aggregation for polyp segmentation
Illustration of the proposed Hierarchical Contextual Information Aggregation Network (HCIA), which consists of four hierarchical branches. The output local prediction maps \(p_{1}{\prime }, p_{2}{\prime }, p_{3}{\prime }\), and \(p_{4}{\prime }\) are aggregated as the final prediction p. ’HAM’ denotes the Hierarchical Aggregation Module (HAM). ’Inter Connected Attention’ denotes the Interconnected Attention Module (IAM). ’Pred Head’ represents the Prediction Head. ’UpConv’ is an upsampling convolutional layer.
