Authors
Han, Bing
Li, Mengzhang
Ye, Yue
Issue Date
2019
Publisher
University of Minnesota Libraries Publishing
Type
Article
Abstract
Kidney tumor segmentation is a hot topic in medical image analysis. In this work, we propose a concise but tricky method, dual Fully Convolutional Networks(FCN) to segment kidney and its surrounding tumor. First FCN is utilized to coarsely detect location of kidney and tumor, while second FCN is employed for refining results of first FCN. In the 2019 Kidney Tumor Segmentation Challenge(KiTS19), 160 patients’ CT scans were used for training and our best result were obtained by this two-step FCN models trained with Focal loss.
Identifiers
doi: 10.24926/548719.068