Tumor location is associated with mood dysfunction in patients with diffuse glioma

MNG van Genderen, V Belgers, JM Niers, L Douw… - Nature Mental …, 2024 - nature.com
Gliomas are primary brain tumors that can cause neuropsychiatric symptoms, including
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 …

Who will benefit from vorasidenib? Review of data from the literature and open questions

A Darlix, M Preusser, SL Hervey-Jumper… - Neuro-Oncology …, 2025 - academic.oup.com
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 …

[HTML][HTML] RFS+: A clinically adaptable and computationally efficient strategy for enhanced brain tumor segmentation

A Duman, O Karakuş, X Sun, S Thomas, J Powell… - Cancers, 2023 - mdpi.com
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 …

[HTML][HTML] A practical guide to manual and semi-automated neurosurgical brain lesion segmentation

R Jain, F Lee, N Luo, H Hyare, AS Pandit - NeuroSci, 2024 - mdpi.com
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 …

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 …

[HTML][HTML] A comparative analysis of the health monitoring process using deep learning methods for brain tumour

N Manjunathan, N Gomathi - Measurement: Sensors, 2025 - Elsevier
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 …

Deep Learning-Based Automated Post-Operative Gross Tumor Volume Segmentation in Glioblastoma Patients

R Muthusivarajan, A Celaya, M Farhat, W Talpur… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

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 …

[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 …