Coursecode: BMB4708022
Course coordinator: dr. Alberto de Luca
Credits: 2.5 EC
Lecturers: dr. Alberto de Luca, Mathijs de Boer, Giulia de Donno
Course description
Topics on deep learning for medical image analysis will be introduced:
- Machine Learning fundamentals
- Deep Learning
- Convolutional Neural Network
- Network Architectures
- Medical Image Analysis applications
During practical sessions students will improve their understanding of the above topics. Additionally there will be a homework group assignment to be handed in at the end of the course.
Learning goals
Upon completion of the course, the student:
- will be familiar with the concepts of machine learning and deep learning
- will be familiar with the latest developments and clinical applications of these techniques
- has a basic understanding of neural networks for medical image analysis
Literature / study materials
“Deep Learning with PyTorch” by Eli Stevens, Luca Antiga, Thomas Viehmann ISBN: 9781617295263
Please note that the book is available as an e-book on the website of Utrecht University Library.
Examination: presentation
Prerequisite knowledge: none
Date: Mondays between 9-16h, 11 November 2024 – 20 January 2025
Registration: Please check the registration procedure for the enrollment deadlines.
Other UU and TU/e MI-track students can register for this course via Osiris Student.
Students from outside the UU or TU/e MI-track can register for this course by sending an email to mix@umcutrecht.nl. Please include your name, student number, Master’s programme and the course code.
Schedule
For directions to the lecture rooms go to Route.d