Project

Image analysis of a skin disease in fish

Publisher

Supervisor

Location

Greater Copenhagen area

Background:
Red mark syndrome (RMS) is an emerging disease affecting rainbow trout in aquaculture in Europe. The disease is characterized by the development of large red marks on the skin of the fish. At the fish diseases group within DTU Aqua we are presently conducting research on this disease. We have an infection model in our aquarium facilities at Lyngby campus where we follow the development of the red marks, and acquire standardized images at regular intervals. All fish are currently tagged with a so-called “PIT tag” so we can identify individual fish. We already have a large database of thousands of images ready to be analyzed.

What we need:
We need someone with good skills within image analysis to investigate several aspects of this disease.
The most important of these is the objective assessment of the development of skin changes in individual fish over the course of the disease.
Other focuses of interest, which could collectively reduce handling of the experimental animals, are:
Image recognition of individual fish
Estimating size

More background information and examples of the images that you will be working with can be found here:

Project start ASAP.

Requirements

Students should have a background in image analysis, mathematical modeling, machine learning or similar.

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Contact

Company / Organization

DTU Compute

Name

Anders Bjorholm Dahl

Position

Professor MSO, Sektionsleder

Mail

abda@dtu.dk

Supervisor info

BSc in Electrical Engineering

Supervisor

Anders Bjorholm Dahl

ECTS credits

10 - 35

Must be completed

Image analysis, Medical image analysis, Computer vision or similar

BSc in Mathematics and Technology

Supervisor

Anders Bjorholm Dahl

ECTS credits

10 - 35

Must be completed

Image analysis, Medical image analysis, Computer vision or similar

BSc in Physics and Nanotechnology

Supervisor

Anders Bjorholm Dahl

ECTS credits

10 - 35

Must be completed

Image analysis, Medical image analysis, Computer vision or similar

BSc in Software Technology

Supervisor

Anders Bjorholm Dahl

ECTS credits

10 - 35

Must be completed

Image analysis, Medical image analysis, Computer vision or similar

MSc in Computer Science and Engineering

Supervisor

Anders Bjorholm Dahl

ECTS credits

10 - 35

Must be completed

Image analysis, Medical image analysis, Computer vision or similar

MSc in Electrical Engineering

Supervisor

Anders Bjorholm Dahl

ECTS credits

10 - 35

Must be completed

Image analysis, Medical image analysis, Computer vision or similar

MSc in Mathematical Modelling and Computation

Supervisor

Anders Bjorholm Dahl

ECTS credits

10 - 35

Must be completed

Image analysis, Medical image analysis, Computer vision or similar

MSc in Physics and Nanotechnology

Supervisor

Anders Bjorholm Dahl

ECTS credits

10 - 35

Must be completed

Image analysis, Medical image analysis, Computer vision or similar

Technical University of Denmark

For almost two centuries DTU, Technical University of Denmark, has been dedicated to fulfilling the vision of H.C. Ørsted – the father of electromagnetism – who founded the university in 1829 to develop and create value using the natural sciences and the technical sciences to benefit society.


Today, DTU is ranked as one of the foremost technical universities in Europe, continues to set new records in the number of publications, and persistently increases and develops our partnerships with industry, and assignments accomplished by DTU’s public sector consultancy.

Find us here

Anker Engelunds Vej 1
Bygning 101A
2800 Kgs. Lyngby

Denmark



Tlf. (+45) 45 25 25 25

CVR-nr. 30 06 09 46

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