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A ν -Net: Automatic detection and segmentation of aneurysm.
In: International workshop on Cerebral Aneurysm Detection. Berlin [u.a.]: Springer, 2021. 51-57 (Lect. Notes Comput. Sc. ; 12643 LNCS)
We propose an automatic solution for the CADA 2020 challenge to detect aneurysm from Digital Subtraction Angiography (DSA) images. Our method relies on 3D U-net as the backbone and heavy data augmentation with a carefully chosen loss function. We were able to generalize well using our solution (despite training on a small dataset) that is demonstrated through accurate detection and segmentation on the test data.
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Publication type
Article: Edited volume or book chapter
Keywords
Aneurysm ; Detection ; Segmentation
ISSN (print) / ISBN
0302-9743
e-ISSN
1611-3349
Book Volume Title
International workshop on Cerebral Aneurysm Detection
Quellenangaben
Volume: 12643 LNCS,
Pages: 51-57
Publisher
Springer
Publishing Place
Berlin [u.a.]
Non-patent literature
Publications
Institute(s)
Institute for Tissue Engineering and Regenerative Medicine (ITERM)