most citedSpinal Metastases Segmentation in MR Imaging using Deep Convolutional Neural Networks

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2020

MedMeshCNN -- Enabling MeshCNN for Medical Surface Models

Lisa Schneider, Annika Niemann, Oliver Beuing +2

Background and objective: MeshCNN is a recently proposed Deep Learning framework that drew attention due to its direct operation on irregular, non-uniform 3D meshes. On selected be…

eess.IV2020★ 2 cited

Spinal Metastases Segmentation in MR Imaging using Deep Convolutional Neural Networks

Georg Hille, Johannes Steffen, Max Dünnwald +3

This study's objective was to segment spinal metastases in diagnostic MR images using a deep learning-based approach. Segmentation of such lesions can present a pivotal step toward…