Real-Time Image Segmentation for Enabling Fusion Imaging in Hepatocellular Carcinoma Ablation
Date:
This talk discussed the transformative role of recent advancements in Artificial Intelligence and Deep Learning in medical imaging, specifically for cancer treatment. With a focus on real-time image segmentation, the presentation highlighted how lightweight neural networks enable the fusion of imaging modalities to improve the precision and efficacy of hepatocellular carcinoma ablation procedures. By integrating real-time segmentation into clinical workflows, this talk showcased how deep learning models are being leveraged to identify liver boundaries more accurately, ensure better ablation targeting, and ultimately enhance patient outcomes.