Aineistot 1-5 / 5
Visual regression of clinical parameters from retinal images
Retinal image features, especially related to the blood vessels, have been proposed as early indicators of various retinal and systemic diseases. Monitoring the features over time can provide insight into the progression ...
Finding interesting images from large quantities of camera trap data
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 ...
Semi-supervised learning for plankton image classification
The production of big data from plankton populations has become feasible with the use of imaging devices. This opens up the possibility of testing key characteristics in planktonic systems. The manual labeling of images ...
Image clustering for unsupervised analysis of plankton data
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
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 ...