@misc{oai:repo.qst.go.jp:00072238,
 author = {平井, 隆介 and 坂田, 幸辰 and 田口, 安則 and 森, 慎一郎 and 平井 隆介 and 坂田 幸辰 and 田口 安則 and 森 慎一郎},
 month = {Sep},
 note = {To allow tumor targeting in the context of liver treatment planning, it is important to estimate the tumor position dynamically. In fluoroscopy, a multiple template-based method has been proposed for tumor tracking without fiducial markers. This method requires ground-truth tumor positions on training images to estimate tumor templates; however, these positions have to be manually set. Moreover, the low contrast of fluoroscopy images makes tumor position marking difficult. To solve this problem, we propose a semiautomatic tumor position tracking method for the training images to reduce both the positional error arising from the manual setup as well as the time required by setting the ground-truth manually., American Society for Radiation Oncology},
 title = {Regression Model of Tumor and Diaphragm Position for Marker-Less Tumor Tracking in Carbon Ion Scanning Therapy for Hepatocellular Carcinoma},
 year = {2016}
}