Feature extraction of the brain tumours with the help of MRI, based on symmetry and partitioning
| Autor: | Vinayak K. Bairagi, Pratima Purushottam Gumaste |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
General Computer Science
Computer science Feature extraction Biomedical Engineering Bioengineering CAD 02 engineering and technology Industrial and Manufacturing Engineering 03 medical and health sciences 0302 clinical medicine Architecture 0202 electrical engineering electronic engineering information engineering medicine Brain magnetic resonance imaging Electrical and Electronic Engineering business.industry Mechanical Engineering Pattern recognition Human brain Thresholding medicine.anatomical_structure 020201 artificial intelligence & image processing Artificial intelligence Symmetry (geometry) business 030217 neurology & neurosurgery |
| Zdroj: | Periodicals of Engineering and Natural Sciences (PEN). 7:1102 |
| ISSN: | 2303-4521 |
| DOI: | 10.21533/pen.v7i3.312 |
| Popis: | Computer-aided diagnostic (CAD) studies are used for scientific observations for explanation since very long time, but they are extraordinarily powerful to perform completely machine-driven algorithmic analyses for brain magnetic resonance imaging lesions. Structural and purposeful imbalance within the human brain could be reviewed. This imbalance analysis of the brain has terrific importance in an image analysis. In the present work, the imbalance between the two hemispheres is considered as the base for the detection of the tumour. We have segmented the brain into the two halves using thresholding technique, followed by statistical feature extraction for the double authentication of the existence of tumour which proves to be the better approach. The approach also takes into consideration corrections needed for the tilt observed while capturing the MRI. |
| Databáze: | OpenAIRE |
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