During the radiation therapy (RT) process, the treatment is planned and simulated with a treatment planning system (TPS). Contouring identifies the Planning Treatment Volume (PTV), that is the physical RT treatment volume. PTV of Glioblastoma (GB) includes, after expansion, Gross Tumor Volume (GTV, the tumor) and Clinical Target Volume (CTV, tumor plus edema). GlioCAD, a Computer-Assisted Detection software for contouring gliomas in MRI/DTI, was used to delineate GTV. The dataset included the images of 21 patients undergoing RT for GB. For each patient, we co-registered CT-planning images and diagnostic MRI (16 T1-gad, 6 T2 Flair, 13 Flair Fat Sat), which were used for GlioCAD training and validation. CAD outlined the tumor with good ac...
Radiotherapy is the most widely used treatment for cancer, with 4 out of 10 cancer patients receivi...
Treatment planning in radiotherapy distinguishes three target volume concepts: the gross tumor volum...
Purpose: To evaluate the clinical application of a robust semiautomatic image segmentation method to...
During the radiation therapy (RT) process, the treatment is planned and simulated with a treatment p...
During the radiation therapy (RT) process, the treatment is planned and simulated with a treatment p...
Glioblastoma (GBM) remains the most aggressive cancer of the brain. Typical survival in patients wit...
Radiation therapy seeks to effectively irradiate the tumor cells while minimizing the dose to adjace...
Patients diagnosed with glioblastoma face poor prognosis, as the median survival from initial diagno...
OBJECTIVES: Glioblastoma multiforme (GBM) is a highly infiltrative primary brain tumour with an aggr...
Despite of the development of advanced segmentation techniques, achieving accurate and reproducible ...
Gross Tumor Volume (GTV) segmentation on medical images is an open issue in neuro-radiosurgery. Magn...
International audienceBecause of high heterogeneity and invasiveness, treatment of GlioBlastoma Mult...
The paper presents an algorithm of segmentation of brain imaging examination results − computed tomo...
Glioblastoma multiforme (GBM) is the most common and aggressive type of primary brain tumor. Magneti...
Radiotherapy is one of the most important cancer treatments for killing cancer cells with external b...
Radiotherapy is the most widely used treatment for cancer, with 4 out of 10 cancer patients receivi...
Treatment planning in radiotherapy distinguishes three target volume concepts: the gross tumor volum...
Purpose: To evaluate the clinical application of a robust semiautomatic image segmentation method to...
During the radiation therapy (RT) process, the treatment is planned and simulated with a treatment p...
During the radiation therapy (RT) process, the treatment is planned and simulated with a treatment p...
Glioblastoma (GBM) remains the most aggressive cancer of the brain. Typical survival in patients wit...
Radiation therapy seeks to effectively irradiate the tumor cells while minimizing the dose to adjace...
Patients diagnosed with glioblastoma face poor prognosis, as the median survival from initial diagno...
OBJECTIVES: Glioblastoma multiforme (GBM) is a highly infiltrative primary brain tumour with an aggr...
Despite of the development of advanced segmentation techniques, achieving accurate and reproducible ...
Gross Tumor Volume (GTV) segmentation on medical images is an open issue in neuro-radiosurgery. Magn...
International audienceBecause of high heterogeneity and invasiveness, treatment of GlioBlastoma Mult...
The paper presents an algorithm of segmentation of brain imaging examination results − computed tomo...
Glioblastoma multiforme (GBM) is the most common and aggressive type of primary brain tumor. Magneti...
Radiotherapy is one of the most important cancer treatments for killing cancer cells with external b...
Radiotherapy is the most widely used treatment for cancer, with 4 out of 10 cancer patients receivi...
Treatment planning in radiotherapy distinguishes three target volume concepts: the gross tumor volum...
Purpose: To evaluate the clinical application of a robust semiautomatic image segmentation method to...