ITK Advanced Course

The Insight Toolkit (ITK) has become a standard in academia and industry for medical image analysis. This course guides attendees on cutting-edge, advanced methods to utilize ITK in WebAssembly, apply deep learning methods, and extend the toolkit with custom methods through hands-on exercises explained by the toolkit’s authors.

Objectives

• Learn how to build ITK WebAssembly processing pipeline and deploy them in language bindings
• Learn how to use ITK to create end-to-end medical deep learning pipelines with MONAI
• Learn how to extend the toolkit with models

Prerequisites

• Basic modern C++ programming knowledge

Agenda

This course covers 8 hours of material, which can be divided into shorter sessions around your availability.

Our Recommendation: For onsite courses, we recommend either one 8-hour day of instruction (morning and afternoon sessions with a lunch break) or two 4-hour sessions on consecutive days. For an online course, we can accommodate a variety of schedules, including 2-hour sessions held on four consecutive days, or over the course of 2 or more weeks.

ITK Ecosystem: Web, Python, and AI Integration

• ITK-wasm and Python
• Machine Learning and ITK
• Deep Learning with MONAI and ITK

ITK Development: WebAssembly and Module Extensions

• Create WebAssembly processing pipelines
• WebAssembly language bindings
• Extend the Toolkit with Modules