AIMC Topic: Brain Neoplasms

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

Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko
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...

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

CNS & neurological disorders drug targets
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...

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

Journal of biomedical optics
Invasive brain cancer cells cannot be visualized during surgery and so they are often not removed. These residual cancer cells give rise to recurrences.

KNOWLEDGE-ASSISTED APPROACH TO IDENTIFY PATHWAYS WITH DIFFERENTIAL DEPENDENCIES.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
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...

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

IET systems biology
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...

The combination of artificial neural networks and synchrotron radiation-based infrared micro-spectroscopy for a study on the protein composition of human glial tumors.

The Analyst
Protein-related changes associated with the development of human brain gliomas are of increasing interest in modern neuro-oncology. It is due to the fact that they might make some of these tumors highly aggressive and difficult to treat. This paper p...

Performance analysis of unsupervised optimal fuzzy clustering algorithm for MRI brain tumor segmentation.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Segmentation of brain tumor from Magnetic Resonance Imaging (MRI) becomes very complicated due to the structural complexities of human brain and the presence of intensity inhomogeneities.