Segmentation of kidney lesions with attention model based on Deeplab
AiQing Wen, Xiaochuan Chen, Anni Chen, Hongyu Shi, Yuming Hong · 2019
We participate this challenge by developing a hierarchical framework.We build the model from two fully convolutional networks:(1) a simple Unet model to normalize the input iamges, (2) a segmentaion network which is an attention model based on Deeplab model.Two models are connected in tandem and trained end-to-end.To ensure a better results, we use the preprocess method proposed by nnUnet in our experiments.