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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Brain Tumor Detection Using Machine Learning |
| Authors Name: | Dr. HARISH B G , Mr. CHETAN KUMAR G S , SHEEFA S NADAF , AHALYA K |
| Unique Id: | IJSDR2309043 |
| Published In: | Volume 8 Issue 9, September-2023 |
| Abstract: | MRI imaging is an advantageous tool in exploring, identifying, and planning treatment for brain tumors. Clinicians can benefit from understanding the tumor's history as well. The detection of brain tumors via MRI imaging is difficult due to the intricate nature of the brain. MRI images are particularly effective in discerning soft tissues compared to X-ray, ultrasound, and CT. This study analyzes a range of processes for brain tumor image (MRI image) detection, such as histogram, threshold, segmentation, and morphological operation, including various preprocessing, post-processing, and methodology techniques. |
| Keywords: | The study explores the use of magnetic resonance imaging (MRI) to detect brain tumors, employing techniques such as bilateral filtering (BF) and convolutional neural networks (CNN). |
| Cite Article: | "Brain Tumor Detection Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 9, page no.274 - 277, September-2023, Available :http://www.ijsdr.org/papers/IJSDR2309043.pdf |
| Downloads: | 000346980 |
| Publication Details: | Published Paper ID: IJSDR2309043 Registration ID:208505 Published In: Volume 8 Issue 9, September-2023 DOI (Digital Object Identifier): Page No: 274 - 277 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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