Challenges and Strategies for Quantification of Drugs in the Brain: Current Scenario and Future Advancement

2020 ◽  
pp. 1-13
Author(s):  
Akhila Pyaram ◽  
Madhuri Rampilla ◽  
Jayshri Deore ◽  
Pinaki Sengupta
Keyword(s):  
Current Scenario ◽  
The Brain ◽  
Challenges And Strategies

scholarly journals Brain Tumor Segmentation in MRI Images using Convolution Neural Networks

2019 ◽  
Vol 8 (4) ◽  
pp. 2051-2054
Keyword(s):  
Brain Tumor ◽  
Automatic Segmentation ◽  
Important Task ◽  
Tumor Segmentation ◽  
Brain Tumor Segmentation ◽  
Brain Images ◽  
Medical Issues ◽  
Current Scenario ◽  
Exact Position ◽  
The Brain

Medical image processing is an important task in current scenario as more and more humans are diagnosed with various medical issues. Brain tumor (BT) is one of the problems that is increasing at a rapid rate and its early detection is important in increasing the survival rate of humans. Detection of tumor from Magnetic Resonance Image (MRI) of brain is very difficult when done manually and also time consuming. Further the tumors assume different shapes and may be present in any portion of the brain. Hence identification of the tumor poses an important task in the lives of human and it is necessary to identify its exact position in the brain and the affected regions. The proposed algorithm makes use of deep learning concepts for automatic segmentation of the tumor from the MRI brain images. The algorithm is implemented using MATLAB and an accuracy of 99.1% is achieved.

scholarly journals Contributions of Neuropsychology: High Skills/Gifted

2020 ◽  
pp. 41-70
Author(s):  
Jéssyca de Alcantara Galvão
Keyword(s):  
Cognitive Abilities ◽  
Brain Activity ◽  
Leadership Skills ◽  
Intellectual Quotient ◽  
Adequate Care ◽  
Current Scenario ◽  
The Central Nervous System ◽  
And Behavior ◽  
The Brain ◽  
Bibliographic Study

Neuropsychology is a field of psychology and neurosciences that studies the relationships between the central nervous system, cognitive functioning and behavior. Since the beginning, researchers in the field have sought understanding scans of the anatomy of the brain and its correlation with cognitive abilities. Neuropsychology is constantly advancing and transforming, and thus, the findings of this science offer increasingly theoretical and methodological support for professionals and enable interventions and treatments more appropriate to patients. Despite advances in research on cognitive abilities, there are currently difficulties regarding the recognition of individuals with High Skills/Gifted. In addition, in many times, HS/G is confused with disorders. For this reason, this bibliographic study presents the main contributions of Neuropsychology to the identification and development of people with HS/G, denoting the historical aspects, the main advances and the current scenario. The analysis of the data collected in articles, theses, books, laws and public policies in force showed that there is still no precise classification for the understanding of HS/G. What is currently known is that intelligence is one of the factors for identification, but other skills are also considered as artistic, motivational aspects and leadership skills. There is also the association of the results of psychological tests with neuroimaging tests. In continuity of the investigation, the neuropsychological mechanisms of people identified with HS/G were investigated. The results of the researches examined indicate a relationship between the intellectual quotient and brain activity as well as indicative of differences in the functioning and anatomy of the brain of these people when compared with subjects of average intellectual quotient. The last topic addresses the Brazilian reality of children and adolescents with HS/G from the school perspective, the difficulties regarding the identification process and the adequate care for these individuals.

scholarly journals Brain Tumor Detection Using Texture Characterisation and Classification Based on the Grey-Level Co-Occurrence Matrix

2016 ◽  
Vol 4 (2) ◽  
pp. 57-61
Author(s):  
K. Sudharani ◽  
Dr.T.C. Sarma ◽  
Dr. K. Satya Prasad
Keyword(s):  
Image Processing ◽  
Brain Tumor ◽  
Predictive Value ◽  
Texture Classification ◽  
Svm Classifier ◽  
True Negative ◽  
Critical Feature ◽  
Current Scenario ◽  
Occurrence Matrix ◽  
The Brain

Detection of brain tumour is very important current scenario of the health care society. Image processing techniques are used to extract the abnormal tumour portion and other features in the brain. Brain tumor is an abnormal mass of lesson in which cells grow up and multiply uncontrollably, apparently unregulated by the mechanisms that control cells. Several techniques like Segmentation, morphological have been developed for detection of tumor in the brain. Texture is a critical feature of several image types and textural features have a lot of application in image processing, content-based image retrieval and so on. There are several ways of extracting these features and the most common way is by using a gray-level co-occurrence matrix (GLCM). In our proposed work Texture characterisation has been made to obtain the Haralick features and SVM classifier is used in the Texture classification algorithm which used in detecting the brain tumor. This technique has been tested for 45 images, true positives are 33, True negative is 1, false positive is 1, and True negatives are 10. Sensitivity 97.0%, Specificity 90.9%, Precision or Positive Predictive Value (PPV) 97.0%,Negative Predictive Value (NPV)90.9%, Accuracy 95.0%.

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