Deep Learning with Applications in Medical Imaging

Utbildningsfakta

Kod: 3RA040

This course covers deep convolutional neural networks (CNNs) for computer vision, with applications in medical image analysis. The course provides an introduction to fundamental concepts in machine learning, describes neural networks and the field of deep learning, and goes into detail about deep CNNs. The course describes the different parts that are used when building deep CNNs, such as filters, activation functions, loss functions; regularization techniques such as e.g. batch normalization and dropout; explains several of the different non-linear optimization algorithms that are used when training the networks, and describes popular network architectures, and discusses their pros and cons. The course also covers generative models, such as variational autoencoders (VAE) and generative adversarial networks (GANs). Students in this course will learn to implement and train modern network architectures and deep learning methods, and apply these to large image datasets with medical and other images. The course has two modules: Theory and method, 5.5 ECTS credits Practical assignments, 2.0 ECTS credits

Behörighet

Univ: For access to the course requires 90 credits of completed studies in one of the main areas of computer science, physics, electronics, chemistry, mathematics or mathematical statistics are required, or 2 years of completed studies (120 credits). Of these credits, at least 7.5 credits are required in basic programming methodology in Python, C, and/or Matlab, at least 7.5 credits dealing with Data Structures and Algorithms, at least 7.5 credits dealing with Linear Algebra, at least 7.5 credits dealing with analysis with concepts such as derivatives and limit values, at least 7.5 credits dealing with mathematical statistics, or equivalent knowledge. Proficiency in English equivalent to the level required for basic eligibility for higher studies if the teacing language is english.

Utbildningstillfällen

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• Deep Learning with Applications in Medical Imaging

  Umeå University

  Startdatum: 25 mars 2027

  Slutdatum: 6 juni 2027

  Studietakt: 50 %