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Visual regression of clinical parameters from retinal images
(2019)
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 ...
Open-set plankton recognition
(2021)
Research on the plankton community is often dealt with acquiring species-level information of individual micro-organisms. The efficiency is limited when manually analyzing a massive collection of plankton image data generated ...
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 ...
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 ...
Explainability and generalizability of glaucoma detection models
(2023)
Glaucoma is a group of sight-threatening eye diseases for which, to date, there is no causal treatment. Based on the current prognosis, it is estimated that the number of people affected by this disease will increase from ...
Surface defect detection and classification with deep learning methods in semiconductor industry
(2023)
In the semiconductor sector, which is vital for producing microelectronic devices and sensors, maintaining high quality is imperative due to the complexity of the manufacturing processes. Despite advancements, manual ...
Real estate building detail enrichment with street view image prediction
(2024)
Within the domain of urban analytics, fundamental aspects defining a real estate property include its construction year, number of floors, and building use. However, it is essential to acknowledge that obtaining accurate ...