Enhanced Detection of Brain Tumors in MRI Images Using YOLOv10

Q: How many days will it take for my paper to be published?

The review time for papers is not fixed. However, if the paper is accepted and the author completes the processing charges formalities, the paper will be published within a few working days.

Q: I would like to receive a hard copy of the journal materials. Are there any additional charges?

You can log in to the author portal and pay 500 INR to receive the hard copy materials.

Siva Kumar Nagi; Sheri Viharika

Enhanced Detection of Brain Tumors in MRI Images Using YOLOv10

Authors: Siva Kumar Nagi, Sheri Viharika

Unique Paper ID: 168441
Volume: 11
Issue: 5
PageNo: 960-966

Keywords: Brain Tumor Eye Yolov10 object detection deep learning.

Abstract:
In this paper, we present a novel approach for detecting brain tumors using the YOLOv10 model, specifically trained to classify two distinct classes: 'Brain Tumor' and 'Eye'. The model was trained and evaluated using a comprehensive dataset of medical images to ensure robust performance across varying conditions. Our experimental results demonstrate that the YOLOv10 model achieved an accuracy of 94.6% for detecting the 'Brain Tumor' class and 92.9% for the 'Eye' class. The overall mean Average Precision (mAP) at an IoU threshold of 0.5 reached 93.7%, indicating the model’s high effectiveness and reliability in identifying and differentiating between brain tumors and eye structures. This research highlights the potential of using advanced object detection models for accurate and efficient medical image analysis, contributing to improved diagnostic accuracy and early intervention strategies.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 5
PageNo: 960-966

Enhanced Detection of Brain Tumors in MRI Images Using YOLOv10

Available:https://ijirt.org/article?manuscript=168441

17 Nov, 2023

Real-time Accident Detection with YOLOv5: Enhancing Public Safety

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now