DC Field | Value | Language |
---|---|---|
dc.contributor.author | Luu, Huan Minh | ko |
dc.contributor.author | Park, Sung-Hong | ko |
dc.date.accessioned | 2022-11-15T05:02:42Z | - |
dc.date.available | 2022-11-15T05:02:42Z | - |
dc.date.created | 2022-09-27 | - |
dc.date.created | 2022-09-27 | - |
dc.date.issued | 2021-09 | - |
dc.identifier.citation | 7th International Brain Lesion Workshop, BrainLes 2021, held in conjunction with the Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, pp.173 - 186 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10203/299633 | - |
dc.description.abstract | Brain tumor segmentation is essential for the diagnosis and prognosis of patients with gliomas. The brain tumor segmentation challenge has provided an abundant and high-quality data source to develop automatic algorithms for the task. This paper describes our contribution to the 2021 competition. We developed our methods based on nn-UNet, the winning entry of last year’s competition. We experimented with several modifications, including using a larger network, replacing batch normalization with group normalization and utilizing axial attention in the decoder. Internal 5-fold cross-validation and online evaluation from the organizers showed a minor improvement in quantitative metrics compared to the baseline. The proposed models won first place in the final ranking on unseen test data, achieving a dice score of 88.35%, 88.78%, 93.19% for the enhancing tumor, the tumor core, and the whole tumor, respectively. The codes, pretrained weights, and docker image for the winning submission are publicly available. (https://github.com/rixez/Brats21_KAIST_MRI_Lab https://hub.docker.com/r/rixez/brats21nnunet ). | - |
dc.language | English | - |
dc.publisher | Springer Science and Business Media Deutschland GmbH | - |
dc.title | Extending nn-UNet for Brain Tumor Segmentation | - |
dc.type | Conference | - |
dc.identifier.wosid | 000878454100016 | - |
dc.identifier.scopusid | 2-s2.0-85135154143 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 173 | - |
dc.citation.endingpage | 186 | - |
dc.citation.publicationname | 7th International Brain Lesion Workshop, BrainLes 2021, held in conjunction with the Medical Image Computing and Computer Assisted Intervention, MICCAI 2021 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Virtual, Online | - |
dc.identifier.doi | 10.1007/978-3-031-09002-8_16 | - |
dc.contributor.localauthor | Park, Sung-Hong | - |
dc.contributor.nonIdAuthor | Luu, Huan Minh | - |
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