Joint Liver and Hepatic Lesion Segmentation using a Hybrid CNN with Transformer Layers. (arXiv:2201.10981v1 [eess.IV])

Deep learning-based segmentation of the liver and hepatic lesions therein
steadily gains relevance in clinical practice due to the increasing incidence
of liver cancer each year. Whereas various network variants with overall
promising results in the field of medical image segmentation have been
developed over the last years, almost all of them struggle with the challenge
of accurately segmenting hepatic lesions. This lead to the idea of combining
elements of convolutional and transformerbased architectures to overcome the
existing limitations. This …

arxiv hybrid segmentation transformer