Adaptive fuzzy deformable fusion and optimized CNN with ensemble classification for automated brain tumor diagnosis
Automatic classification of brain tumor plays a vital role to speed up the treatment procedure,
plan and boost the survival rate of patients. Nowadays, Magnetic Resonance Imaging (MRI) …
plan and boost the survival rate of patients. Nowadays, Magnetic Resonance Imaging (MRI) …
Improved prediction of glioma‐related aphasia by diffusion MRI metrics, machine learning, and automated fiber bundle segmentation
White matter impairments caused by gliomas can lead to functional disorders. In this study,
we predicted aphasia in patients with gliomas infiltrating the language network using …
we predicted aphasia in patients with gliomas infiltrating the language network using …
Tractography-based navigated TMS language map** protocol
Introduction This study explores the feasibility of implementing a tractography-based
navigated transcranial magnetic stimulation (nTMS) language map** protocol targeting …
navigated transcranial magnetic stimulation (nTMS) language map** protocol targeting …
Machine learning-based prediction of motor status in glioma patients using diffusion MRI metrics along the corticospinal tract
Along tract statistics enables white matter characterization using various diffusion MRI
metrics. These diffusion models reveal detailed insights into white matter microstructural …
metrics. These diffusion models reveal detailed insights into white matter microstructural …
[HTML][HTML] Using radiomics based on multicenter magnetic resonance images to predict isocitrate dehydrogenase mutation status of gliomas
Y Liu, Z Zheng, Z Wang, X Qian, Z Yao… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
Background Isocitrate dehydrogenase (IDH) mutation status is an important biomarker for
the treatment strategy selection and prognosis evaluation of glioma. The purpose of this …
the treatment strategy selection and prognosis evaluation of glioma. The purpose of this …
Low-frequency repetitive transcranial magnetic stimulation over the right orbitofrontal cortex for patients with first-episode schizophrenia: A randomized, double-blind …
Repetitive transcranial magnetic stimulation (rTMS) has been used in the treatment of
patients with schizophrenia. The conventional targets of rTMS treatment are the dorsolateral …
patients with schizophrenia. The conventional targets of rTMS treatment are the dorsolateral …
Comparison of Naive Bayes and support vector machine with grey wolf optimization feature selection for cervical cancer data classification
QS Setiawan, Z Rustam… - … conference on decision …, 2021 - ieeexplore.ieee.org
The cervix is part of the female reproductive system, and it can be affected by cancer
disease. On a global scale, cervical cancer causes death and malignancy in women …
disease. On a global scale, cervical cancer causes death and malignancy in women …
Analysis of accuracy and sensitivity of novel support vector machine algorithm to maximize the detection rate in comparison with decision tree algorithm
The core of this work presents an assembly method of EEG signals for the early detection of
brain tumors using a novel support vector machine (SVM) algorithm compared with a …
brain tumors using a novel support vector machine (SVM) algorithm compared with a …
Navigated Transcranial Magnetic Stimulation (nTMS) based Preoperative Planning for Brain Tumor Treatment
Transcranial Magnetic Stimulation (TMS) is a non-invasive technique for analyzing the
central and peripheral nervous system. TMS could be a powerful therapeutic technique for …
central and peripheral nervous system. TMS could be a powerful therapeutic technique for …
The role of white matter bundles from the dual-stream system in the language recovery of post-stroke aphasia
A Osa García - 2024 - papyrus.bib.umontreal.ca
Post-stroke aphasia is an acquired language disorder that occurs as consequence of a
stroke, an acute vascular lesion in brain tissue. This disorder manifests through symptoms …
stroke, an acute vascular lesion in brain tissue. This disorder manifests through symptoms …