FAQsVolume 11 Issue 12
December-2024
eISSN: 2349-5162
- Share us
-
-
-
Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed, Crossref DOI Journal )
Impact factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal
UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules
ISSN: 2349-5162 | ESTD Year : 2014 Volume 12 | Issue 10 | October 2025
New UGC Peer-Reviewed Rules
ISSN: 2349-5162 | ESTD Year : 2014 Volume 12 | Issue 10 | October 2025
JETIREXPLORE- Search Thousands of research papers
Contact Us Click Here
WhatsApp Contact Click Here
Published in:
UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
Unique Identifier
Published Paper ID:
JETIR2412788
Registration ID:
564944
Page Number
Important Links:
Jetir RMS
Title
A Comparative Analysis of Brain Tumor Detection Techniques: Traditional and AI-Driven Approaches
Authors
Abstract
Brain tumor detection is a critical area in medical imaging and diagnosis, where early and accurate identification can significantly influence treatment outcomes. Over the years, numerous detection techniques have emerged, ranging from traditional image processing to advance deep learning-based models. This paper provides a comparative analysis of key brain tumor detection techniques, including manual radiological methods, classical machine learning, and modern deep learning approaches.
Key Words
Brain tumor, deep learning, machine learning, transfer learning
Cite This Article
"A Comparative Analysis of Brain Tumor Detection Techniques: Traditional and AI-Driven Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.h747-h754, December-2024, Available :http://www.jetir.org/papers/JETIR2412788.pdf
ISSN
2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"A Comparative Analysis of Brain Tumor Detection Techniques: Traditional and AI-Driven Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. pph747-h754, December-2024, Available at : http://www.jetir.org/papers/JETIR2412788.pdf
Publication Details
Published Paper ID: JETIR2412788
Registration ID: 564944
Published In: Volume 11 | Issue 12 | Year December-2024
DOI (Digital Object Identifier): https://doi.org/10.56975/jetir.v11i12.564944
Page No: h747-h754
Country: SAS Nagar Mohali, Punjab, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2412788
Published Paper PDF: https://www.jetir.org/papers/JETIR2412788
Download Paper / Preview Article
Download Paper
Preview This Article
Download PDF
Downloads
000110
Print This Page
Important Links:
Jetir RMS
