A successive framework for brain tumor interpretation using Yolo variants

A successive framework for brain tumor interpretation using Yolo variants

Abstract Accurate identification and segmentation of brain tumors in Magnetic Resonance Imaging (MRI) images are critical for timely diagnosis and treatment. MRI is frequently used to diagnose these disorders; however medical professionals find it challenging to manually evaluate MRI pictures becaus...

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Bibliographic Details
Main Authors: S. Priyadharshini, Ramasubramanian Bhoopalan, D. Manikandan, Krishnaraj Ramaswamy
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Brain tumor segmentation
Detection
Deep learning
Magnetic resonance imaging
YOLOv11
Online Access:https://doi.org/10.1038/s41598-025-13155-4
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https://doi.org/10.1038/s41598-025-13155-4

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