Milda Poceviciute
@MPoceviciuteA PhD student at Linkoping University interested in deep learning, explainable AI and uncertainty and their applications for digital pathology.
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This year I focused a lot on anomaly detection and how we could do it in an unsupervised way. GANs show promising results, but a lot has to be done to develop a reliable tool for clinical practise. #digitalpathology #GANs #anomalydetection #DeepLearning ieeexplore.ieee.org/document/94341…
There is no better way to understand one of the most basic concepts of data science and machine learning - Correlation does not imply causation 😃
"Our new supercomputer is a powerful addition to the important research carried out into such fields as the life sciences, #MachineLearning and artificial intelligence," says Jan-Ingvar Jönsson, vice-chancellor of Linköping University. Read more: liu.se/en/news-item/s…
A very relevant problem in #digitalpathology! Perhaps #explainableAI tools could help tackle this.
Domain shift between histopathology data from different medical centers is a real problem. Check out our paper in @IEEE_JBHI where we present a metric for measuring it. 1/3 ieeexplore-ieee-org.e.bibl.liu.se/abstract/docum… #pathtwitter #pathology
Excited to present our work on explainable artificial intelligence in digital pathology and why it really matters. link.springer.com/chapter/10.100… #digitalpathology #explainableAI #DeepLearning
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