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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Brain Tumor Screening and Identification Using Dectotron2 and RetinaNet Model |
| Authors Name: | Sumit Khatua , Prashant Kumar , Naveen Chander |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_208961
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| Published Paper Id: | IJNRD2311162 |
| Published In: | Volume 8 Issue 11, November-2023 |
| DOI: | |
| Abstract: | In the 21st century, the field of medical science has reached a remarkable level of maturity, demanding the highest precision in diagnosing and treating brain tumor. The integration of cutting-edge computer technology, specifically artificial intelligence (AI) tools, has emerged as a critical resource in enhancing brain tumor classification, particularly gliomas, for prognosis and treatment planning. This research represents the culmination of extensive efforts in deep learning, with the primary objective of identifying and characterizing brain tumors with unparalleled precision. Previous studies have explored various iterations of the Detectron2 based on open-source project and it introduce the second-generation library which enhance classification within images and videos have formed the basis of our quest to enhance tumor detection and classification detection. Machine learning, a dynamic field, offers an elegant solution to elevate brain tumor identification and labelling accuracy. The integration of YOLOv8-Dectotron2 represents a remarkable advancement, achieving an 95.887% detection accuracy rate, a significant improvement of 5.7% compared to prior work. |
| Keywords: | Brain Tumor, MRI, Detctron2, Yolo, Streamlit, RetinaNET |
| Cite Article: | "Brain Tumor Screening and Identification Using Dectotron2 and RetinaNet Model", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.b494-b498, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311162.pdf |
| Downloads: | 000118752 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2311162 Registration ID: 208961 Published In: Volume 8 Issue 11, November-2023 DOI (Digital Object Identifier): Page No: b494-b498 Country: Moahli, Punjab, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2311162 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2311162 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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