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Marharyta Domnich on Muck Rack

Marharyta Domnich

As seen in: arXiv, BioRxiv
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Articles

Kaizen: Decomposing cellular images with VQ-VAE

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By Daniel Majoral, Marharyta Domnich, Tartu Ülikool
| BioRxiv
Abstract A fundamental problem in cell and tissue biology is finding cells in microscopy images. Traditionally, this detection has been performed by segmenting the pixel intensities. However, these methods struggle to delineate cells in more densely packed micrographs, where local decisions about boundaries are not trivial. Here, we develop a new methodology to decompose microscopy images into individual cells by making object-level decisions.
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COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images

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By Raul Vicente, Dmytro Fishman, Joonas Ariva, Marharyta Domnich
| arXiv
[Submitted on 19 Apr 2024] Title:COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images View a PDF of the paper titled COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images, by Dmytro Shvetsov and 4 other authors View PDF HTML (experimental) Abstract:Deep learning is dramatically transforming the field of medical imaging and radiology, enabling the identification of pathologies in medical images, including...
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