Hours:
16 hours (4 credits)
Room:
Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa - Ground Floor
To register to the course, click here
Short Abstract:
Medical imaging plays a crucial role in the entire spectrum of healthcare, encompassing wellness, screening, early diagnosis, treatment selection, and follow-up. This course will delve deeply into recent advancements in artificial intelligence for medical image analysis, with a specific focus on deep learning approaches for disease screening and detection using medical images. The topics covered in this course include the fundamentals of deep neural networks, the basics of medical imaging, and an exploration of state-of-the-art deep learning models within the context of various medical images. The objective of the course is to equip students from diverse backgrounds with both a conceptual understanding and practical grounding in cutting-edge research on deep learning and medical image analysis.
Course Contents in brief:
- Day 1: Introduction to Deep Learning Fundamentals (Course overview, Classification, Segmentation, 3D, and Videos).
- Day 2: Medical Images (Retinal Images, Multi-modal Data, Ultrasound, Pathology, CT, MRI).
- Day 3: Advanced Topics (Semi-supervised learning, Unsupervised learning, Covid-19).
- Day 4: Advanced Topics (Generalization, Privacy, Attention)
Schedule:
- Day 1 – Monday, 21 July 2025, 9:00-13:00
- Day 2 – Tuesday, 22 July 2025, 9:00-13:00
- Day 3 – Thursday, 23 July 2025, 9:00-13:00
- Day 4 – Monday, 28 July 2025, 9:00-13:00
