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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 MobileNet model. |
| Authors Name: | Prashanth G , Jyothishree K , Vyshnavi B K , Rohit kumar jha D , Vijayalaxmi R patil |
| Unique Id: | IJSDR2307049 |
| Published In: | Volume 8 Issue 7, July-2023 |
| Abstract: | Brain tumor detection is crucial for early diagnosis and effective treatment planning. Pre trained deep learning models have shown promising performance in automating the detection process from MRI images. In this research work, a brain tumor detection system is developed to detect whether input brain MRI image has tumor or not. The system uses pre trained MobileNet model for binary classification of brain MRI images and a user interface is designed to upload the brain MRI image for tumor detection. The methodology involves acquiring a dataset of brain MRI images, preprocessing the data, training pre-trained MobileNet model, testing and evaluation of Model. The system performance is evaluated by means of MobileNet model performance metrics such as accuracy, precision, recall and F1-score. The results demonstrate that proposed MobileNet- based brain tumor detection system achieves a high accuracy of 95.25 % in detecting brain tumors. This work contributes to the field of medical image analysis by providing an efficient and accurate approach for brain tumor detection, with potential applications in clinical practice and remote healthcare settings. |
| Keywords: | MRI - Magnetic resonance imaging |
| Cite Article: | "Brain Tumor Detection Using MobileNet model.", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 7, page no.368 - 372, July-2023, Available :http://www.ijsdr.org/papers/IJSDR2307049.pdf |
| Downloads: | 000338536 |
| Publication Details: | Published Paper ID: IJSDR2307049 Registration ID:207651 Published In: Volume 8 Issue 7, July-2023 DOI (Digital Object Identifier): Page No: 368 - 372 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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