Guided-attention and gated-aggregation network for medical image segmentation

Mustansar Fiaz, Mubashir Noman, Hisham Cholakkal, Rao Muhammad Anwer, Jacob Hanna, Fahad Shahbaz Khan

Abstract: Highlights•We propose GA2Net to capture complex shapes of the tissues for better segmentation.•Our HGFA enhances the most relevant feature information for pixel-precise segmentation using deep supervision.•Adaptive aggregation adjusts the receptive fields for each stage features.•Our MGFA modules in decoder are crucial to obtaining accurate boundaries of the tissue objects.•Experiments on eight medical segmentation benchmarks demonstrate merits of our contributions.