3 papers
eess.IV2019
Sequential Rib Labeling and Segmentation in Chest X-Ray using Mask R-CNN
Jöran Wessel, Mattias P. Heinrich, Jens von Berg +2
Mask R-CNN is a state-of-the-art network architecture for the detection and segmentation of object instances in the computer vision domain. In this contribution, it is used to loca…
cs.CV2018
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification?
Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich +6
Chest radiography is the most common clinical examination type. To improve the quality of patient care and to reduce workload, methods for automatic pathology classification have b…
cs.CV2018
Deep Learning Based Rib Centerline Extraction and Labeling
Matthias Lenga, Tobias Klinder, Christian Bürger +3
Automated extraction and labeling of rib centerlines is a typically needed prerequisite for more advanced assisted reading tools that help the radiologist to efficiently inspect al…