Automatic image segmentation based on synthetic tissue model for delineating organs at risk in spinal metastasis treatment planning.
Wittenstein, Olaf
Automatic image segmentation based on synthetic tissue model for delineating organs at risk in spinal metastasis treatment planning. [electronic resource] - Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Dec 2019 - 1094-1103 p. digital
Publication Type: Journal Article
1439-099X
10.1007/s00066-019-01463-4 doi
Abdomen--radiation effects
Algorithms
Feasibility Studies
Humans
Image Processing, Computer-Assisted--methods
Models, Anatomic
Organs at Risk--radiation effects
Pilot Projects
Radiotherapy Planning, Computer-Assisted--methods
Software Design
Spinal Neoplasms--radiotherapy
Thorax--radiation effects
Tomography, X-Ray Computed
Automatic image segmentation based on synthetic tissue model for delineating organs at risk in spinal metastasis treatment planning. [electronic resource] - Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Dec 2019 - 1094-1103 p. digital
Publication Type: Journal Article
1439-099X
10.1007/s00066-019-01463-4 doi
Abdomen--radiation effects
Algorithms
Feasibility Studies
Humans
Image Processing, Computer-Assisted--methods
Models, Anatomic
Organs at Risk--radiation effects
Pilot Projects
Radiotherapy Planning, Computer-Assisted--methods
Software Design
Spinal Neoplasms--radiotherapy
Thorax--radiation effects
Tomography, X-Ray Computed