Smartscan DL based Brain Tumor Detection
Yellineni Aswini
, Jersha J , Sachin Aditiya B
Brain Tumor Detection, Machine Learning, Deep Learning, Convolutional Neural Networks (CNNs), MRI Image Analysis, Medical Imaging, Tumor Classification, Automated Diagnosis
Brain tumors are among the most severe
neurological disorders, requiring early
and accurate diagnosis to improve
treatment outcomes. Traditional
diagnostic methods rely on manual
interpretation of MRI scans, which can be
time-consuming and prone to human
error. To address this challenge, a
machine learning-based brain tumor
detection system, is proposed. The system
utilizes deep learning techniques,
particularly convolutional neural
networks (CNNs), to analyse MRI images
and detect tumors with high precision. By
automating the detection process, aims to
assist radiologists in making faster and
more reliable diagnoses, ultimately
improving patient care.
The proposed model undergoes rigorous
training on large datasets to differentiate
between normal and tumor-affected brain
tissues. Advanced preprocessing
techniques, including image
enhancement and noise reduction, are
incorporated to improve accuracy. The
model's performance is evaluated using
key metrics such as accuracy, sensitivity,
and specificity, demonstrating its
effectiveness in tumor classification and
segmentation. The results indicate that
has the potential to revolutionize medical
imaging by reducing diagnostic delays
and increasing detection accuracy,
making it a valuable tool in the fight
against brain tumors.
Volume 12
Issue 4,
April-2025
Pages : a59-a64
Paper Reg. ID: TIJER_157186
Published Paper Id: TIJER2504011
Downloads: 000282
Research Area: Other area not in list
Country: Bharathi salai road , Ramapuram, Tamil Nadu, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
