Data augmentations used on the data during model training.

<p>Data augmentations used on the data during model training.</p>

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Bibliographic Details
Main Author:	Henrik Mustonen (20378529) (author)
Other Authors:	Antti Isosalo (20378532) (author), Minna Nortunen (11557900) (author), Mika Nevalainen (20378535) (author), Miika T. Nieminen (12297505) (author), Heikki Huhta (768249) (author)
Published:	2024
Subjects:	Cell Biology Genetics Molecular Biology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified significantly saves time optimizing radiological evaluations image analysis process dice similarity coefficient 82 &# 177 4 times compared utilizes cnn models tool accelerates annotation creating new datasets training dl algorithms deep learning models pancreas </ p deep learning testing datasets efficient tool cnn model xlink "> unet decoder standard deviation segmentations made require editing local dataset highly accurate easily modified clinical practice artificial intelligence also tested access dataset
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