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Tumor location is associated with mood dysfunction in patients with diffuse glioma
Gliomas are primary brain tumors that can cause neuropsychiatric symptoms, including
severe depressive symptoms (SDS; in 14%) and an absence of depressive symptoms (ADS; …
severe depressive symptoms (SDS; in 14%) and an absence of depressive symptoms (ADS; …
A Critical Review on Segmentation of Glioma Brain Tumor and Prediction of Overall Survival
N Rasool, JI Bhat - Archives of Computational Methods in Engineering, 2024 - Springer
In recent years, the surge in glioma brain tumor cases has positioned it as the 10th most
prevalent tumor affecting individuals across diverse age groups. Gliomas, characterized by …
prevalent tumor affecting individuals across diverse age groups. Gliomas, characterized by …
Who will benefit from vorasidenib? Review of data from the literature and open questions
The clinical efficacy of isocitrate dehydrogenase (IDH) inhibitors in the treatment of patients
with grade 2 IDH-mutant (mIDH) gliomas is a significant therapeutic advancement in neuro …
with grade 2 IDH-mutant (mIDH) gliomas is a significant therapeutic advancement in neuro …
[HTML][HTML] RFS+: A clinically adaptable and computationally efficient strategy for enhanced brain tumor segmentation
Simple Summary In our study, we addressed the challenge of the brain tumor segmentation
task using a range of MRI modalities. While leading models show proficiency on …
task using a range of MRI modalities. While leading models show proficiency on …
[HTML][HTML] A practical guide to manual and semi-automated neurosurgical brain lesion segmentation
The purpose of the article is to provide a practical guide for manual and semi-automated
image segmentation of common neurosurgical cranial lesions, namely meningioma …
image segmentation of common neurosurgical cranial lesions, namely meningioma …
Human-Level Differentiation of Medulloblastoma from Pilocytic Astrocytoma: A Real-World Multicenter Pilot Study
B Wiestler, B Bison, L Behrens, S Tüchert, M Metz… - Cancers, 2024 - mdpi.com
Simple Summary Reliable preoperative differentiation of pediatric brain tumors can be
challenging. While deep learning models have made significant progress in radiology, their …
challenging. While deep learning models have made significant progress in radiology, their …
[HTML][HTML] A comparative analysis of the health monitoring process using deep learning methods for brain tumour
The use of Internet of Things (IoT) devices has been growing rapidly recently. As technology
improves, products for older people are developed in the health industry. Applications for …
improves, products for older people are developed in the health industry. Applications for …
Deep Learning-Based Automated Post-Operative Gross Tumor Volume Segmentation in Glioblastoma Patients
Precise automated delineation of post-operative gross tumor volume in glioblastoma cases
is challenging and time-consuming owing to the presence of edema and the deformed brain …
is challenging and time-consuming owing to the presence of edema and the deformed brain …
DTASUnet: a local and global dual transformer with the attention supervision U-network for brain tumor segmentation
B Ma, Q Sun, Z Ma, B Li, Q Cao, Y Wang, G Yu - Scientific Reports, 2024 - nature.com
Glioma refers to a highly prevalent type of brain tumor that is strongly associated with a high
mortality rate. During the treatment process of the disease, it is particularly important to …
mortality rate. During the treatment process of the disease, it is particularly important to …
[HTML][HTML] Automated multi-class high-grade glioma segmentation based on T1Gd and FLAIR images
AK Al-Bashir, AN Al Obeid, MA Al-Abed… - Informatics in Medicine …, 2024 - Elsevier
Glioma is the most prevalent primary malignant brain tumor. Segmentation of glioma regions
using magnetic resonance imaging (MRI) is essential for treatment planning. However …
using magnetic resonance imaging (MRI) is essential for treatment planning. However …