Analysis of brain tumour MRI with stress level using frequency analysis
Bibliographic Data
| ID | 15797184 |
|---|---|
| Authors | S Rani (0000-0003-3233-6564, Presidency University, corresponding author), D Gladis (Bharath University, corresponding author) |
| Year | 2022 |
| Pages | 2799-2813 |
| Publication date | 2022-04-17 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Health Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2550-696X • E-ISSN: 2550-6978 |
| Publisher | Universidad Tecnica de Manabi (PUBLISHER • EC) |
| DOI | 10.53730/ijhs.v6ns3.6197 |
| OpenAlex | W4224219694 |
| Language | EN |
The Computing science applied to determine the solutions for medical, science and business domain. The Data mining techniques used to identify the features and applied to solve the challenging issues in the domains. This work attempted to fetch the draw brain MRI and converted to computable format. The converted images are used form the frequent wave and classified based on the mode. The relationship between the stress level and affected brain neuron activeness relationship identified and presented as part of the paper . The result shows that the highly affected neurons stress levels are high
Data science · Domain (mathematical analysis · Human–computer interaction · Mode (computer interface · Stress (linguistics · Work (physics · Computer Science · Engineering · Image Retrieval and Classification Techniques · Mathematics · Neural Networks and Applications · Rough Sets and Fuzzy Logic · Artificial Intelligence
| Highly cited | No |
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