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Automated Brain Tumor Detection and Segmentation

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Volume-10 | Issue-3

Last date : 26-Jun-2026

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Automated Brain Tumor Detection and Segmentation


Pranay Sahadeo Sathawane



Pranay Sahadeo Sathawane "Automated Brain Tumor Detection and Segmentation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025, pp.202-207, URL: https://www.ijtsrd.com/papers/ijtsrd78436.pdf

Effective treatment planning and early diagnosis depend on the detection and classification of brain tumors. The ability of Convolutional Neural Networks (CNNs) to automatically extract pertinent information from images has made them extremely effective in medical image analysis in recent years. In this work, a CNN-based technique for classifying and detecting brain cancers from MRI data is presented. The suggested model classifies cancers into various categories, such as gliomas, meningiomas, and pituitary tumors, and accurately detects their presence using a deep learning framework. Preprocessing MRI images, training the CNN model on a large dataset of labeled brain scans, and evaluating the model's performance using metrics like accuracy, sensitivity, and specificity are all part of the process. Experimental findings demonstrate how well the suggested approach detects and classifies brain tumors with high accuracy and dependability, making it a useful tool to aid radiologists in clinical decision-making.

Python, Machine Learning (ML), Deep Learning, CNN, Computed Tomography(CT), MRI, Artificial Intelligence (AI), Medical image processing.


IJTSRD78436
Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025
202-207
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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