相关实验视频

Updated: Jun 23, 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

9.0K

胎盘细分重新定义:对磁共振成像和超声波成像深度学习整合的审查

Asmaa Jittou1, Khalid El Fazazy2, Jamal Riffi2

  • 1Laboratory of Computer Science, Innovation, and Artificial Intelligence, Faculty of Science Dhar El Mahraz, University Sidi Mohamed Ben Abdellah, 30000, Fes, Morocco. asmaa.jittou@usmba.ac.ma.

Visual computing for industry, biomedicine, and art
|July 15, 2025
PubMed
概括

深度学习在医学成像,特别是MRI和超声波中显著改善了胎盘细分. 本综述强调了2019-2024年间的进展,加强了产前诊断和母胎健康.

关键词:
深度学习是一种深度学习.磁共振成像技术 磁共振成像技术胎盘 胎盘 胎盘 胎盘分段化 分段化 分段化 分段化超声波超声波是指超声波的使用.

更多相关视频

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

2.9K
Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies04:25

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

2.9K

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...