相关实验视频

Updated: May 17, 2025

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Published on: April 14, 2014

针对MRI脑瘤分析的先进深度学习和机器学习技术:一篇评论

Rim Missaoui^1,2, Wided Hechkel¹, Wajdi Saadaoui³

¹Laboratory of Micro-Optoelectronics and Nanostructures (LMON), University of Monastir, Avenue of the Environment, Monastir 5019, Tunisia.

Sensors (Basel, Switzerland)

|May 14, 2025

概括

机器学习和深度学习通过分析像MRI这样的医学成像来显著改善脑瘤诊断. 这些先进的算法增强了检测,细分,分类和生存预测,以获得更好的患者结果.

科学领域:

神经瘤学神经瘤学
医疗成像医学成像
人工智能的人工智能

背景情况:

大脑瘤是复杂的中枢神经系统细胞生长,难以诊断和治疗.
磁共振成像 (MRI) 是由于其安全性和对比分辨率而首选的模式.
准确的诊断对于有效的个性化治疗策略至关重要.

研究的目的:

审查使用机器学习 (ML) 和深度学习 (DL) 与医疗成像用于脑瘤诊断的进展.
探索ML/DL算法如何改善脑瘤分析的各个阶段.
评估这些技术对诊断精度和治疗规划的影响.

主要方法:

对2018年至2024年间发表的107项研究进行了系统分析.
专注于利用ML,DL和混合模型进行脑瘤分析的研究.
包括使用公共数据集的研究,如BraTS,TCIA和Figshare.

主要成果:

ML和DL算法在脑瘤检测,细分,分类和生存预测方面显著改善.
先进的算法准确地识别瘤特征,帮助诊断精度.
结合ML/DL与MRI,提高了诊断能力.

结论:

ML和DL,特别是MRI,为推进脑瘤诊断提供了强大的工具.
这些人工智能驱动的方法是提高诊断准确度和实现个性化治疗策略的关键.
这一领域的持续研究有望进一步改善神经瘤学护理.

关键词:

大脑瘤大脑瘤深度学习 (DL) 是指深度学习.机器学习 (ML) 是指机器学习.磁共振成像 (MRI) 的使用.

更多相关视频

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

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

相关概念视频

Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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...