Authors
Ito, Yuichi
Nishimoto, Takuya
Chou, Weizhong
Ishiguro, Toshitaka
Mori, Kensaku
Kojo, Kosuke
Kojima, Takahiro
Nakagawa, Tsutomu
Kakeya, Hideki
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Issue Date
2019
Publisher
University of Minnesota Libraries Publishing
Type
Article
Abstract
In this paper we report on the algorithm we applied to KiTS 19 Challenge. We used 3D U-nets for masking and labeling separately. We mainly focused on data augmentation and grouping of training data to improve the result of segmentation.
Identifiers
doi: 10.24926/548719.025