Multi-modal and multi-model approaches for medical image analysis: with applications to tumor and cancer detection
On March 19, 2025, the Learning Theory and Algorithms Research Area hosted a seminar titled "Multi-modal and Multi-model Approaches for Medical Image Analysis: Applications to Tumor and Cancer Detection," led by Dr. Abdullah Al-Battal.
The seminar highlighted groundbreaking advancements in integrating multi-modal imaging techniques such as MRI, CT, and PET with state-of-the-art AI models. Experts explored how these innovations are transforming tumor and cancer detection by enhancing diagnostic accuracy, segmentation, and classification. The session covered key methodologies, challenges, and real-world applications, emphasizing the pivotal role of AI-driven multi-modal approaches in improving cancer diagnosis.
Attendees actively participated in insightful discussions, gaining valuable perspectives on the future of medical imaging and its growing impact on healthcare.
The following are the highlights of the event:
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