Scientific Research Publishing

Soltaninejad, M., Zhang, L., Lambrou, T., Yang, G., Allinson, N. and Ye, X. (2019) MRI Brain Tumor Segmentation using Random Forests and Fully Convolutional Networks. arXiv ...

ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...
GitHub

Simplication of network for simpler problem

I have trained the architecture (FCN-8s) with your dataset (Vessels with four classes background, empty region, liquid, solid) and evaluated on your dataset. I didn't get a perfect result (for liquid ...
IEEE

Fully Convolutional Networks for Semantic Segmentation

Abstract: Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, improve on the ...
IEEE

Fully convolutional networks for semantic segmentation

Abstract: Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, exceed the ...