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Image clustering for unsupervised analysis of plankton data
(2020)
Advancements in automated imaging has made it possible to enhance the data both in terms of quantity and quality. This has prompted the development of plankton imaging systems for acquiring the species level information ...
End-to-end regression of clinical parameters from retinal images
(2020)
Retinal images are widely used by medical doctors to diagnose eye-related diseases. Unfortunately, the human factor restricts possibilities of full analysis of fundus. Therefore, implementing an automated algorithm for ...
Finding interesting images from large quantities of camera trap data
(2020)
To protect the endangered Saimaa ringed seal population, the ringed seals are monitored
with automatic camera traps in order to gather knowledge about them including population
size, territory, age, health and breeding ...
Seal pose estimation using convolutional neural networks
(2021)
Conservation of the endangered Saimaa ringed seal population requires an effective approach to re-identify animals, which would allow biologists and ecologists to monitor the population. The ideal approach of ringed seal ...
Geometric verification for Saimaa ringed seal re-identification
(2023)
Ongoing conservation efforts of the Saimaa ringed seal (Pusa hispida saimensis) utilize an image-based re-identification, but the re-identification is mostly done manually. Due to enlarging image data sets of seals, the ...