This code provides the Matlab implementation that detects the brain tumor region and also classify the tumor as benign and malignant. This code is implementation for the - A. Mathew and P. Anto, "Tumor detection and classification of MRI brain image using wavelet transform and SVM", 2017 Inter...
Deep learning, a subset of machine learning, has revolutionized the field of medical image analysis, offering substantial improvements in detecting and classifying various diseases [3]. In brain tumor detection, deep learning algorithms can analyze complex MRI data, identify patterns imperceptible to the...
We report a case of syphilitic gumma of which the patient was first suspected of brain tumor, but confirmed by surgery to be cerebral gumma due to neurosyphilis. Magnetic resonance imaging, which is thought to be one of the potential and specific diagnostic methods for neurosyphilis, is ...
Case reportOpen access Pediatric opsoclonus myoclonus syndrome with improvement of symptoms and decrease in cerebrospinal fluid B cell percentage after rituxmab administration: Case report Eri Inoue, ... Takashi KusakaDecember 2024View PDF Case reportOpen access Sequential MRI of the brain in a patient...
Hui, L. & Chen, Y. Tumor microenvironment: Sanctuary of the devil.Cancer Lett368(1), 7–13 (2015). CASMathSciNetPubMed Kim, J. & Bae, J. S. Tumor-Associated Macrophages and Neutrophils in Tumor Microenvironment.Mediators Inflamm2016, 6058147 (2016). ...
tumor. Scale: 5 µm.cGraph depicts the quantification of LRP1 expression in angiogenic and invasive areas (n = 30). ***P<0.001.dMRI image from a representative glioblastoma (GBM) patient. Samples were taken intraoperatively with the aid of neuronavigation from the tumor angiogenic ...
In addition, the main etiologies of increased T2-relaxation values in the brain are vasogenic edema, demyelination, gliosis, or neuronal loss [17,18,19], observed in tumor [20], chronic epilepsy [21], congenital central hypoventilation syndrome [22], traumatic brain injury [23], and ...
Figure 2: (Left) Basic MRI workflow. Slices are taken axially at 1mm increments, creating the 3-dimensional rendering (right). Note that this is only one of four commonly-used pulse sequences used for tumor segmentation. MRI pre-processing (code) One of the challenges in working with MRI...
Aneurysmal bone cyst—an MRI with and without contrast is helpful when suspected. This can show “fluid-fluid” levels characteristic of this diagnosis, as well as look for more aggressive features that may suggest concern for a telangiectatic osteosarcoma. • Solitary fibrous tumor—a CT chest...
The 3D MR images with the same voxel size as PET generated using the proposed method will be useful for the anatomical localization of PET findings in MR images and other various tasks, such as tumor volume estimation and MRI-guided PET reconstruction. As a future study, further investigation ...