相关实验视频

Updated: Jun 18, 2026

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

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

Published on: January 7, 2019

9.6K

基于深度学习的内耳子区域细分在3DT2加权MRI中,使用标签保存数据增强.

Wooseung Kim1,2, Yeonah Kang3,4, Seokhwan Lee5,6

  • 1Department of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea.

NMR in biomedicine
|March 13, 2026
PubMed
概括

这项研究引入了一种深度学习方法,用于在MRI扫描上对内耳结构进行细分,从而提高像Meniere病这样的疾病的准确性. 新的标签保存数据增强显著增强细微的内耳解剖学的细分.

关键词:
这就是为什么MRI是MRI.深度学习是一种深度学习.内耳的内耳,就是内耳的内耳.细分化 细分化的细分化半圆形的运河半圆形的运河

更多相关视频

Deep Learning-Based Segmentation of Cryo-Electron Tomograms10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

11.1K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography04:48

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

Published on: November 30, 2022

3.6K

相关概念视频

Magnetic Resonance Imaging01:24

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...