Classification of the human brain tissue blocks
Image classification-based brain tumour tissue segmentation
... After training CIFAR network, each layer produces filter responses to the input MRI modalities. However, there are only a few layers within a trained CIFAR that are suitable for image feature extraction. The basic image ...
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On the Fractal Design in Human Brain and Nervous Tissue
... Through his masterpiece, The Fractal Geometry of Nature [1], Benoît Mandelbrot has provided a novel epistemological framework for interpreting the real life and the natural world as they are, preventing whatever ...
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Improved cerebellar tissue classification on magnetic resonance images of brain.
... Accurate classification of tissues is important since in diseases such as MS, atrophy of individual tissues, rather than the whole brain volume, is thought to correlate better with the clinical status ...
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Interferon-γ blocks signalling through PDGFRβ in human brain pericytes
... of brain microvasculature and as such play an integral role in CNS homeostasis and BBB function ...ence brain disease (reviewed [16, ...identified brain pericytes as active partici- pants in the ...
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Tissue-specific classification of alternatively spliced human exons
... In general, the ACE skipped exons and non-ACE skipped exons are more divisible by 3, more modular, have less NMD, have longer introns, have shorter exons, have weaker spli[r] ...
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Isolation of Borna Disease Virus from Human Brain Tissue
... of brain cell homogenate used to inoculate OL cells without causing significant ...the brain of patient P2 were below those suitable for direct isolation by infection of OL cells but could be amplified by ...
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TISSUE-ENGINEERED MICROVESSEL MODELS OF THE HUMAN BLOOD-BRAIN BARRIER
... of human iPSC-derived blood-brain barrier microvessels resembling in vivo post-capillary ...disruption. Human iPSC-derived blood-brain barrier microvessels serve as a robust patient-specific ...
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New tissue priors for improved automated classification of subcortical brain structures on MRI
... classi fication and manual labeling due to the fact that less voxel were used for comparison. Given the widespread use of T1w MRI data for computational anatomy studies (Good et al., 2001; Ashburner et al., 2003), we ...
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Healthy and Pathological Tissue Classification in MRI Brain Images Using HCSONN Algorithm
... of brain tumor from the Magnetic Resonance Images(MRI).The human brain is the most complex structure where identifying the tumor like diseases are extremely challenging because differentiating the ...
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Comparison of Image Intensity, Local and Multi-Atlas Priors in Brain Tissue Classification
... the classification is achieved by propagating the label map of a topological atlas to the tar- get image 23 ...the classification framework 7,24,25 ...the classification by the relatively less rel- ...
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An Ensemble Based Approach for Detection and Classification of Tumor in Human Brain
... in brain leads to brain tumor. Brain tumors can be malignant or ...of brain tumor in humans is Glioma. It contributes to about 30% to brain and 80% to central nervous system of all ...
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MRI of Human Brain Images Classification Based on Dirichlet Laplacian
... 5. Simulation In this section, the proposed technique has been implemented on a real human brain MRI dataset. The input dataset consists of total 70 images which in turn contain 10 normal images and 60 ...
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CiteSeerX — The effect of poliomyelitis virus on human brain cells in tissue culture
... This disintegra- tion of the cell and in some cases the sudden contraction of the cell body after long exposure to the vires corresponds to the reaction of the monkey[r] ...
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Methylomic profiling of human brain tissue supports a neurodevelopmental origin for schizophrenia
... cerebellum brain tissue from schizophrenia patients and controls, identifying disease-associated differential DNA methylation at multiple loci, particularly in the prefrontal cortex, and confirming these ...
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Measuring cell type specific differential methylation in human brain tissue
... scarce tissue bank resources and limited funds for methylation ...the brain regions of interest using a small number of samples, the gold-standard methylation data can be used for any further analysis, and ...
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Aging effects on DNA methylation modules in human brain and blood tissue
... Results: We therefore employed weighted correlation network analysis of 2,442 Illumina DNA methylation arrays from brain and blood tissues, which enabled the identification of an age-related co-methylation module. ...
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Multiparametric tissue characterization of brain neoplasms and their recurrence using pattern classification of MR images
... for brain tumors, aiming at a comprehensive tissue ...Both classification approaches (intra- and inter-patient with Bayesian and SVM classification) have the same underlying framework, namely ...
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Robust Technique for Detection and Classification of Glands from Human Tissue Samples
... As such application totally depends on medical images. And we know that medical images are too much complex in nature and not too much clear to identify minute components in it. Some images are also real time images ...
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Functional annotation of the human brain methylome identifies tissue specific epigenetic variation across brain and blood
... multiple brain regions and blood, we have identified key regions of the genome that are character- ized by tissue-specific patterns of DNA ...with tissue-specific gene expression in somatic cells ...
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The proliferative potential of human cardiac stem cells was unaffected after a long term cryopreservation of tissue blocks
... Results: Among independent measurements indicating growth potential, the growth rate and BrdU positivity remarkably correlated in freshly prepared CSCs. The cells obtained from every examined region displayed a high ...
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