
Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/3397| Title: | Segmentation and Classification of Brain Tumor using Watershed, SVM and CNN Algorithms |
| Authors: | Bhola, Gourangni Kale, Anurag Salunke, Vaishnavi Srivastava, Sumira Birla, K.P. |
| Keywords: | BraTS SVM Classification medical imaging Segmen-tation tumor detection watershed |
| Issue Date: | 5-May-2022 |
| Abstract: | The human brain is the primary controller of the humanoid system. A brain tumour is caused by abnormal cell growth and division in the brain, and so brain tumours can lead to brain cancer. Computer vision plays an important role in human health by reducing the accuracy of human judgement.CT scans, X-rays, and MRI scans are all common imaging modalities. Magnetic resonance imaging is the most reliable and secure method (MRI). MRI is used to detect every minute thing. The application of various methodologies is examined in ourresearch. During this experiment, we used the Gaussian filter(GF)to remove noise from brain MRI for the identification of brain cancer |
| URI: | http://192.168.3.232:8080/jspui/handle/123456789/3397 |
| Appears in Collections: | Computer |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| PID 14IJARCCE.2022.115101.pdf | 326.77 kB | Unknown | View/Open |
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