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Brain Imaging

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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Updated: May 23, 2025

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

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

Published on: January 7, 2019

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

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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Last Updated: May 23, 2025

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

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

Published on: January 7, 2019

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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

科学领域:

医疗成像医学成像
人工智能的人工智能
神经学神经学

背景情况:

准确和及时的脑瘤诊断对于患者的治疗结果至关重要.
在MRI中手动检测脑瘤具有挑战性,耗时,容易出现错误.
需要自动化,强大和高效的方法来识别脑瘤.

研究的目的:

开发一种用于在MRI图像中检测和分类脑瘤的自动化方法.
为了提高图像质量和提高瘤细分的准确性.
为了减少在诊断过程中依赖手动解释.

主要方法:

使用引导过和异型高斯侧窗 (AGSW) 的图像增强.
对排除非瘤区域的形态分析.
深度神经网络具有用于细分和特征提取的注意模块.
集体模型用于多类脑瘤分类.

主要成果:

在BraTS2020数据集上达到99.94%的准确性,在Figshare数据集上达到99.67%.
与现有技术相比,该方法表现出卓越的自动化和稳定性.
成功地识别和分类大脑瘤的高精度.

结论:

拟议的自动化方法显著提高了MRI中的脑瘤诊断.
集成先进的图像处理和深度学习提供了一个可靠的诊断工具.
这种方法有可能改善患者的康复和治疗计划.