Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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MED 1: Methods for Medical Applications 1 Location: De Carli Session Chair: Prof. Daniele Regazzoni, Università di Bergamo Session Chair: Prof. Pietro Piazzolla, Politecnico di Milano | |
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Automated GI Tract Cancer Segmentation using Enhanced Attention UNet: A Medical Imaging Application Braude College of Engineering, Israel This research aims to advance medical imaging analysis by developing a novel deep learning framework for MRI segmentation. Building on the success of the BiFTransNet model, originally designed for gastrointestinal (GI) tract segmentation, we propose an enhanced architecture incorporating residual multi-scale skip connections. This design leverages the global contextual awareness of Transformer-based models alongside the localization capabilities of U-Net structures to address the inherent complexity of medical image segmentation. The model employs a 2.5D input strategy, combining adjacent MRI slices to capture both spatial and contextual features, which significantly improves segmentation accuracy. We optimized key hyperparameter—most notably, a larger batch size—to enhance both training stability and overall performance. These enhancements resulted in marked improvements over the original BiFTransNet model. Our proposed framework demonstrates superior performance in accurately delineating anatomical structures critical to radiation therapy planning in GI cancers. | |