Deep neural networks are commonly used for automated medical image
segme...
Computational pathology uses artificial intelligence to enable precision...
Automated medical image segmentation using deep neural networks typicall...
Imperfect labels limit the quality of predictions learned by deep neural...
A recent strategy to circumvent the exploding and vanishing gradient pro...
In many cases, especially with medical images, it is prohibitively
chall...
Semantic segmentation of medical images aims to associate a pixel with a...
Modelling long-term dependencies is a challenge for recurrent neural
net...
In this work, we report the set-up and results of the Liver Tumor
Segmen...
We propose a model for the joint segmentation of the liver and liver les...
It is well known that it is challenging to train deep neural networks an...
In this paper, we study the influence of both long and short skip connec...
The early detection, diagnosis and monitoring of liver cancer progressio...