Authors
Zhang, Jian
He, Kelei
Qin, Tiexin
Chen, Jianrong
Yang, Lihe
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Issue Date
2019
Publisher
University of Minnesota Libraries Publishing
Type
Article
Abstract
To produce reliable kidney and kidney tumor semantic segmentation, we proposed a two-stage method to automatically segment kidney and tumor. Specifically, in the first stage, to crop input into a small region, we train a small network to locate kidney and tumor with down-sampled image. In second stage, we train three types of networks to segment kidney, tumor, kidney and tumor respectively. Then we combine these networks together with ensemble method to produce reliable kidney and tumor segmentation. Our method can achieve an overall approximate score of 85.1% in DSC in Kits19 Challenge, with 96.9% for kidney and 73.3% for kidney tumor.
Identifiers
doi: 10.24926/548719.031