Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning

被引:0
作者
Ekin Ermiş
Alain Jungo
Robert Poel
Marcela Blatti-Moreno
Raphael Meier
Urspeter Knecht
Daniel M. Aebersold
Michael K. Fix
Peter Manser
Mauricio Reyes
Evelyn Herrmann
机构
[1] Bern University Hospital,Department of Radiation Oncology, Inselspital
[2] and University of Bern,Insel Data Science Center, Inselspital
[3] Bern University Hospital,ARTORG Center for Biomedical Research
[4] University of Bern,Institute for Diagnostic and Interventional Neuroradiology, Inselspital
[5] Bern University Hospital,Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital
[6] and University of Bern,undefined
[7] Bern University Hospital,undefined
[8] and University of Bern,undefined
来源
Radiation Oncology | / 15卷
关键词
Glioblastoma; Automatic segmentation; Deep learning; Target definition; MRI;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 90 条
[1]  
Mazzara GP(2004)Brain tumor target volume determination for radiation treatment planning through automated MRI segmentation Int J Radiat Oncol Biol Phys 59 300-312
[2]  
Velthuizen RP(2011)Increasing incidence of glioblastoma multiforme and meningioma, and decreasing incidence of Schwannoma (2000-2008): findings of a multicenter Australian study Surg Neurol Int 2 176-2318
[3]  
Pearlman JL(2014)Changing incidence and improved survival of gliomas Eur J Cancer 50 2309-298
[4]  
Dobes M(2005)Atlas-based automatic segmentation of MR images: validation study on the brainstem in radiotherapy context Int J Radiat Oncol Biol Phys 61 289-4577
[5]  
Khurana VG(2011)Comparison of manual and automatic segmentation methods for brain structures in the presence of space-occupying lesions: a multi-expert study Phys Med Biol 56 4557-2024
[6]  
Shadbolt B(2019)Inter-rater agreement in glioma segmentations on longitudinal MRI NeuroImage Clin 22 101727-78
[7]  
Ho VKY(2015)The multimodal brain tumor image segmentation benchmark (BRATS) IEEE Trans Med Imaging 34 1993-2075
[8]  
Reijneveld JC(2017)Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation Med Image Anal 36 61-212
[9]  
Enting RH(2018)Interleaved 3D-CNNs for joint segmentation of small-volume structures in head and neck CT images Med Phys 45 2063-18
[10]  
Bondiau PY(2015)Segmentation algorithms of subcortical brain structures on MRI for radiotherapy and radiosurgery: a survey Irbm. 36 200-470