Web: http://arxiv.org/abs/2201.10981

Jan. 27, 2022, 2:11 a.m. | Georg Hille, Shubham Agrawal, Christian Wybranski, Maciej Pech, Alexey Surov, Sylvia Saalfeld

cs.LG updates on arXiv.org arxiv.org

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

More from arxiv.org / cs.LG updates on arXiv.org

Data Scientist

@ Fluent, LLC | Boca Raton, Florida, United States

Big Data ETL Engineer

@ Binance.US | Vancouver

Data Scientist / Data Engineer

@ Kin + Carta | Chicago

Data Engineer

@ Craft | Warsaw, Masovian Voivodeship, Poland

Senior Manager, Data Analytics Audit

@ Affirm | Remote US

Data Scientist - Nationwide Opportunities, AWS Professional Services

@ Amazon.com | US, NC, Virtual Location - N Carolina