A novel deep learning model DDU-net using edge features to enhance brain tumor segmentation on MR images
Glioma is a relatively common brain tumor disease with high mortality rate. Humans have
been seeking a more effective therapy. In the course of treatment, the specific location of the …
been seeking a more effective therapy. In the course of treatment, the specific location of the …
Learning data augmentation for brain tumor segmentation with coarse-to-fine generative adversarial networks
There is a common belief that the successful training of deep neural networks requires many
annotated training samples, which are often expensive and difficult to obtain especially in …
annotated training samples, which are often expensive and difficult to obtain especially in …
[PDF][PDF] Context-sensitive classification forests for segmentation of brain tumor tissues
We describe our submission to the Brain Tumor Segmentation Challenge (BraTS) at MICCAI
2012, which is based on our method for tissue-specific segmentation of high-grade brain …
2012, which is based on our method for tissue-specific segmentation of high-grade brain …
RescueNet: An unpaired GAN for brain tumor segmentation
Even with proper acquisition of brain tumor images, the accurate and reliable segmentation
of tumors in brain is a complicated job. Automatic segmentation become possible with …
of tumors in brain is a complicated job. Automatic segmentation become possible with …
No new-net
In this paper we demonstrate the effectiveness of a well trained U-Net in the context of the
BraTS 2018 challenge. This endeavour is particularly interesting given that researchers are …
BraTS 2018 challenge. This endeavour is particularly interesting given that researchers are …