Kidney Tumor Segmentation Using Dual Fully Convolutional Networks
Bing Han, Ye Yue, Mengzhang Li · 2019
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.