Deep Learning Based Rib Centerline Extraction and Labeling

no code implementations • 19 Sep 2018 • Matthias Lenga, Tobias Klinder, Christian Bürger, Jens von Berg, Astrid Franz, Cristian Lorenz

In this paper, we combine a deep learning-based rib detection with a dedicated centerline extraction algorithm applied to the detection result for the purpose of fast, robust and accurate rib centerline extraction and labeling from CT volumes.

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning

no code implementations • 5 Apr 2018 • Stojan Trajanovski, Dimitrios Mavroeidis, Christine Leon Swisher, Binyam Gebrekidan Gebre, Bastiaan S. Veeling, Rafael Wiemker, Tobias Klinder, Amir Tahmasebi, Shawn M. Regis, Christoph Wald, Brady J. McKee, Sebastian Flacke, Heber MacMahon, Homer Pien

Importance: Lung cancer is the leading cause of cancer mortality in the US, responsible for more deaths than breast, prostate, colon and pancreas cancer combined and it has been recently demonstrated that low-dose computed tomography (CT) screening of the chest can significantly reduce this death rate.

Computed Tomography (CT)