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Updated: May 23, 2025

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
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Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

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使用MRI图像进行脑瘤分类的自动深度学习框架

Muhammad Aamir1, Ziaur Rahman2, Uzair Aslam Bhatti3

  • 1School of Computer Science and Artificial Intelligence, Huanggang Normal University, Huanggang, 438000, Hubei, China. aamirshaikh86@hotmail.com.

Scientific reports
|May 21, 2025
PubMed
概括

这项研究提出了一种自动化方法,用于在MRI扫描中检测脑瘤,显著提高诊断准确性和效率. 这种新的方法提高了图像清晰度,并使用深度学习进行精确的瘤识别和分类.

关键词:
注意力机制注意力机制大脑瘤分类 (BTC) 是指大脑瘤的分类.卷积神经网络 (CNN) 是一种神经网络.整体分类器 集成分类器医疗保健 医疗保健 医疗保健 医疗保健图像增强 图像增强 图像增强磁共振成像细分 磁共振成像细分形态学过程 形态学过程多级特征提取 多级特征提取

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相关概念视频

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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