Institute of Information Science, Academia Sinica

Deep learning is spearheading transformative shifts across various fields, leaving notable impacts in industrial and medical imaging domains. Its remarkable ability for autonomous pattern recognition has revolutionized medical diagnostics, propelling groundbreaking advancements in cancer diagnosis, predictive analytics, and cardiovascular risk assessment. This progress has significantly elevated the overall quality of patient care and healthcare evaluations.Concurrently, industries are leveraging deep learning's neural network capabilities for industry automation, quality control, and predictive maintenance. This integration has substantially fortified processes like assembly line inspection and defect detection, leading to improved operational efficiency and product quality.Therefore, this session focuses on fundamental implications of deep learning within these critical fields, emphasizing its crucial role in addressing complex challenges and fostering research into potential applications and advancements in both industry and medical imaging.