AIMC Topic:
Brain Neoplasms

Clear Filters Showing 1021 to 1030 of 1033 articles

MRI to MGMT: predicting methylation status in glioblastoma patients using convolutional recurrent neural networks.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2018
Glioblastoma Multiforme (GBM), a malignant brain tumor, is among the most lethal of all cancers. Temozolomide is the primary chemotherapy treatment for patients diagnosed with GBM. The methylation status of the promoter or the enhancer regions of the...
Computational Biology Databases, Genetic Magnetic Resonance Imaging DNA Methylation Drug Resistance, Neoplasm Tumor Suppressor Proteins Glioblastoma Temozolomide Humans Dacarbazine Antineoplastic Agents, Alkylating Neural Networks, Computer DNA Modification Methylases Brain Neoplasms DNA Repair Enzymes Regulatory Sequences, Nucleic Acid
View on PubMed

Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence.

Journal of digital imaging Aug 1, 2017
Several studies have linked codeletion of chromosome arms 1p/19q in low-grade gliomas (LGG) with positive response to treatment and longer progression-free survival. Hence, predicting 1p/19q status is crucial for effective treatment planning of LGG. ...
Humans Chromosomes, Human, Pair 19 Artificial Intelligence Glioma Chromosome Deletion Machine Learning Chromosomes, Human, Pair 1 Brain Neoplasms
View on PubMed DOI

Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.

Oncotarget Jul 18, 2017
Current machine learning techniques provide the opportunity to develop noninvasive and automated glioma grading tools, by utilizing quantitative parameters derived from multi-modal magnetic resonance imaging (MRI) data. However, the efficacies of dif...
Humans Machine Learning Neoplasm Grading Male Image Interpretation, Computer-Assisted Female Middle Aged Reproducibility of Results Glioma Adult Magnetic Resonance Imaging Brain Neoplasms
View on PubMed DOI

Robot-assisted procedures in pediatric neurosurgery.

Neurosurgical focus May 1, 2017
OBJECTIVE During the last 3 decades, robotic technology has rapidly spread across several surgical fields due to the continuous evolution of its versatility, stability, dexterity, and haptic properties. Neurosurgery pioneered the development of robot...
Adolescent Child, Preschool Child Imaging, Three-Dimensional Humans Female Brain Neoplasms Male Neurosurgery Stereotaxic Techniques Neuronavigation Robotics Epilepsy Neurosurgical Procedures Deep Brain Stimulation
View on PubMed DOI

Unsupervised consensus cluster analysis of [18F]-fluoroethyl-L-tyrosine positron emission tomography identified textural features for the diagnosis of pseudoprogression in high-grade glioma.

Oncotarget Jan 31, 2017
RATIONALE: Timely detection of pseudoprogression (PSP) is crucial for the management of patients with high-grade glioma (HGG) but remains difficult. Textural features of O-(2-[18F]fluoroethyl)-L-tyrosine positron emission tomography (FET-PET) mirror ...
Retrospective Studies Female Reproducibility of Results Humans Radiopharmaceuticals Disease-Free Survival Treatment Outcome Kaplan-Meier Estimate Glioma Middle Aged Tyrosine Magnetic Resonance Imaging Aged Disease Progression Cluster Analysis Unsupervised Machine Learning Adult Positron Emission Tomography Computed Tomography Pilot Projects Predictive Value of Tests Brain Neoplasms Neoplasm Grading Time Factors Male Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

[Some features controlling the blood D-dimer level after resection of malignant brain glioma].

Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko Jan 1, 2017
UNLABELLED: A high blood D-dimer level is often diagnosed in patients with malignant brain glioma (MBG), with 24% of these patients being detected with deep vein thrombosis of the leg and/or pulmonary embolism (PE). The cause of an elevated blood D-d...
Glioma Brain Neoplasms Humans Fibrin Fibrinogen Degradation Products Venous Thrombosis Male Craniotomy Age Factors Female Middle Aged Aged Pulmonary Embolism Postoperative Complications Adult
View on PubMed DOI

Differentiation of Glioblastoma and Lymphoma Using Feature Extraction and Support Vector Machine.

CNS & neurological disorders drug targets Jan 1, 2017
Differentiation of glioblastoma multiformes (GBMs) and lymphomas using multi-sequence magnetic resonance imaging (MRI) is an important task that is valuable for treatment planning. However, this task is a challenge because GBMs and lymphomas may have...
Brain Neoplasms Imaging, Three-Dimensional Support Vector Machine Lymphoma Glioblastoma Nonlinear Dynamics Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Diagnosis, Differential Humans Brain Retrospective Studies Sensitivity and Specificity
View on PubMed DOI

Neural networks improve brain cancer detection with Raman spectroscopy in the presence of operating room light artifacts.

Journal of biomedical optics Sep 1, 2016
Invasive brain cancer cells cannot be visualized during surgery and so they are often not removed. These residual cancer cells give rise to recurrences.
Brain Neoplasms Spectrum Analysis, Raman Image Interpretation, Computer-Assisted Artifacts Operating Rooms Humans Neural Networks, Computer Machine Learning Brain
View on PubMed DOI

KNOWLEDGE-ASSISTED APPROACH TO IDENTIFY PATHWAYS WITH DIFFERENTIAL DEPENDENCIES.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2016
We have previously developed a statistical method to identify gene sets enriched with condition-specific genetic dependencies. The method constructs gene dependency networks from bootstrapped samples in one condition and computes the divergence betwe...
Glioblastoma Gene Regulatory Networks Computational Biology Knowledge Bases Likelihood Functions Signal Transduction Systems Integration Databases, Genetic Models, Statistical Humans Algorithms Brain Neoplasms Gene Expression Profiling
View on PubMed

Deploying swarm intelligence in medical imaging identifying metastasis, micro-calcifications and brain image segmentation.

IET systems biology Dec 1, 2015
This study proposes an umbrella deployment of swarm intelligence algorithm, such as stochastic diffusion search for medical imaging applications. After summarising the results of some previous works which shows how the algorithm assists in the identi...
Image Processing, Computer-Assisted Calcinosis Bone Neoplasms Neoplasm Metastasis Tomography, X-Ray Computed Female Brain Neoplasms Male Humans Artificial Intelligence Brain
View on PubMed DOI
Popular Topics
Recent Journals