title: Using an artificial neural network to define the planning target volume in radiotherapy.
abstract: A neural network for predicting the planning target volume in radiotherapy from the shape of the detected tumor is designed and tested in this research project. The proposed neural network is able to generalize expert medical knowledge and predict the planning target volume from a three-dimensional image of the detected tumor. Initial results for simple shaped brain tumors are presented in this paper.
authors.affiliation: Otto von Guericke University Magdeburg, Clinic for Radiotherapy, Germany.
authors.forename: N
authors.initials: N
authors.lastname: Kaspari
authors.forename: B
authors.initials: B
authors.lastname: Michaelis
authors.forename: G
authors.initials: G
authors.lastname: Gademann
mesh_terms: D001185:Artificial Intelligence; D001932:Brain Neoplasms / Q000532:radiotherapy*; D005103:Expert Systems; D006801:Humans; D008279:Magnetic Resonance Imaging; D016571:Neural Networks, Computer; D011880:Radiotherapy Planning, Computer-Assisted; D014057:Tomography, X-Ray Computed