Overall survival time prediction for high-grade glioma patients based on large-scale brain functional networks
High-grade glioma (HGG) is a lethal cancer with poor outcome. Accurate preoperative
overall survival (OS) time prediction for HGG patients is crucial for treatment planning …
overall survival (OS) time prediction for HGG patients is crucial for treatment planning …
Outcome prediction for patient with high-grade gliomas from brain functional and structural networks
High-grade glioma (HGG) is a lethal cancer, which is characterized by very poor prognosis.
To help optimize treatment strategy, accurate preoperative prediction of HGG patient's …
To help optimize treatment strategy, accurate preoperative prediction of HGG patient's …
[HTML][HTML] Machine learning analytics of resting-state functional connectivity predicts survival outcomes of glioblastoma multiforme patients
Glioblastoma multiforme (GBM) is the most frequently occurring brain malignancy. Due to its
poor prognosis with currently available treatments, there is a pressing need for easily …
poor prognosis with currently available treatments, there is a pressing need for easily …
Non‐invasive prediction of overall survival time for glioblastoma multiforme patients based on multimodal MRI radiomics
J Zhu, J Ye, L Dong, X Ma, N Tang, P Xu… - … Journal of Imaging …, 2023 - Wiley Online Library
Glioblastoma multiforme (GBM) is the most common and deadly primary malignant brain
tumor. As GBM tumor is aggressive and shows high biological heterogeneity, the overall …
tumor. As GBM tumor is aggressive and shows high biological heterogeneity, the overall …
: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients
Early and accurate prediction of overall survival (OS) time can help to obtain better treatment
planning for brain tumor patients. Although many OS time prediction methods have been …
planning for brain tumor patients. Although many OS time prediction methods have been …
[HTML][HTML] Multi-channel 3D deep feature learning for survival time prediction of brain tumor patients using multi-modal neuroimages
High-grade gliomas are the most aggressive malignant brain tumors. Accurate pre-operative
prognosis for this cohort can lead to better treatment planning. Conventional survival …
prognosis for this cohort can lead to better treatment planning. Conventional survival …
[HTML][HTML] Tumor Grade and Overall Survival Prediction of Gliomas Using Radiomics
J Ye, H Huang, W Jiang, X Xu, C Xie, B Lu… - Scientific …, 2021 - hindawi.com
Glioma is one of the most common and deadly malignant brain tumors originating from glial
cells. For personalized treatment, an accurate preoperative prognosis for glioma patients is …
cells. For personalized treatment, an accurate preoperative prognosis for glioma patients is …
Deep learning of imaging phenotype and genotype for predicting overall survival time of glioblastoma patients
Z Tang, Y Xu, L Jin, A Aibaidula, J Lu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Glioblastoma (GBM) is the most common and deadly malignant brain tumor. For
personalized treatment, an accurate pre-operative prognosis for GBM patients is highly …
personalized treatment, an accurate pre-operative prognosis for GBM patients is highly …
[HTML][HTML] Predicting overall survival in diffuse glioma from the presurgical connectome
SR Kesler, RA Harrison, V Rao, H Dyson, M Petersen… - Scientific reports, 2022 - nature.com
Diffuse gliomas are incurable brain tumors, yet there is significant heterogeneity in patient
survival. Advanced computational techniques such as radiomics show potential for …
survival. Advanced computational techniques such as radiomics show potential for …
[HTML][HTML] Machine learning and radiomic features to predict overall survival time for glioblastoma patients
Glioblastoma is an aggressive brain tumor with a low survival rate. Understanding tumor
behavior by predicting prognosis outcomes is a crucial factor in deciding a proper treatment …
behavior by predicting prognosis outcomes is a crucial factor in deciding a proper treatment …