Lightweight Deep Neural Network Framework for Liver CT Segmentation
Date:
This presentation explored the significant advancements in AI-driven medical imaging technologies, emphasizing the development of lightweight deep learning frameworks for liver CT segmentation. Highlighting the growing need for computationally efficient solutions in cancer diagnostics and treatment planning, this talk delved into how lightweight neural networks are revolutionizing the segmentation process. These networks not only reduce computational overhead but also ensure robust segmentation performance, paving the way for improved diagnosis, treatment, and follow-up care for liver-related cancers.