TeachingWs20CS4MS

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Computer Science for Medical Students

Administrative Information

Responsible for Module: Prof. Nassir Navab
Organization: Hendrik Burwinkel, TobiasCzempiel, and Matthias Keicher

Time

Wednesdays at 4:00pm - 6:00pm

Overview

Artificial intelligence will play an increasingly important role in the medicine of the future. Already today, neural networks can be measured in diagnostics with specialists. This seminar is intended to give interested medical students an understanding of the theoretical and practical basics of programming neural networks for the purpose of medical diagnostics and thus familiarize them with a key technology of the medicine of the future. In the course of the seminar, students will design a neural network in the programming language Python that is capable of diagnosing melanomas. Previous knowledge is not required, all necessary skills are taught in the seminar. However, basic knowledge of programming is advantageous. A laptop is required for the attendance of the course!

More information

https://www.meditum.med.tum.de/en/node/4870338


TeachingForm
Title: Computer Science for Medical Students
Professor: Prof. Nassir Navab
Tutors: Hendrik Burwinkel, Tobias Czempiel, and Matthias Keicher
Type: Lecture
Information: 2 SWS lecture / 2 SWS Excercise , 4 ECTS Credits
Term: 2020WiSe
Abstract: Artificial intelligence will play an increasingly important role in the medicine of the future. Already today, neural networks can be measured in diagnostics with specialists. This seminar is intended to give interested medical students an understanding of the theoretical and practical basics of programming neural networks for the purpose of medical diagnostics and thus familiarize them with a key technology of the medicine of the future. In the course of the seminar, students will design a neural network in the programming language Python that is capable of diagnosing melanomas. Previous knowledge is not required, all necessary skills are taught in the seminar. However, basic knowledge of programming is advantageous. A laptop is required for the attendance of the course!


Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 29 Jul 2021 - 14:02 - MatthiasKeicher

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