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Optimizing YOLOv8 for Enhanced Medical Image Analysis: A Deep Learning Approach to Brain Tumor Detection

2025-11-18

Abstract excerpt

This study presents a comprehensive optimization of the YOLOv8 architecture for enhanced brain tumor detection in magnetic resonance imaging (MRI) data, aiming to improve both accuracy and efficiency in medical image analysis. To ensure compatibility with input data characteristics, the model's input layer was resized to 256×256 pixels prior to training and testing. The dataset, comprising approximately 7,000 MRI...

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Literature Corpus work
7de0b490-bfef-5bd6-9d32-5942b260b489
DOI
10.22541/au.176348791.17841078/v1
Open publication

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Optimizing YOLOv8 for Enhanced Medical Image Analysis: A Deep Learning Approach to Brain Tumor DetectionDOI 10.22541/au.176348791.17841078/v1
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