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Instructors: Ph.D. Anirban Mukhopadhyay
Event type:
Integrated Course
Org-unit: Dept. 20 - Computer Science
Displayed in timetable as:
DLMI
Subject:
Crediting for:
Hours per week:
3
Language of instruction:
Englisch
Min. | Max. participants:
- | -
Course Contents:
Formulating Medical Image Segmentation, Computer Aided Diagnosis and Surgical Planning as Machine Learning Problems, Deep Learning for Medical Image Segmentation, Deep Learning for Computer Aided Diagnosis, Surgical Planning from pre-surgical images using Deep Learning, Tool presence detection and localization from endoscopic videos using Deep learning, Adversarial Examples for Medical Imaging, Generative Adversarial Networks for Medical Imaging.
Preconditions:
- Programming skills
- Understanding of Algorithmic design
- Linear Algebra
- Image Processing / Computer Vision I
- Statistical Machine Learning
Online Offerings:
moodle
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