3 papers
cs.CV2024
A Systematic Analysis of Input Modalities for Fracture Classification of the Paediatric Wrist
Ron Keuth, Maren Balks, Sebastian Tschauner +2
Fractures, particularly in the distal forearm, are among the most common injuries in children and adolescents, with approximately 800 000 cases treated annually in Germany. The AO/…
cs.CV2024
DenseSeg: Joint Learning for Semantic Segmentation and Landmark Detection Using Dense Image-to-Shape Representation
Ron Keuth, Lasse Hansen, Maren Balks +4
Purpose: Semantic segmentation and landmark detection are fundamental tasks of medical image processing, facilitating further analysis of anatomical objects. Although deep learning…
cs.CV2024
SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation
Ron Keuth, Lasse Hansen, Maren Balks +4
Semantic segmentation is a crucial task in medical imaging. Although supervised learning techniques have proven to be effective in performing this task, they heavily depend on larg…