相关实验视频

Updated: Jul 9, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.5K

基于相对照磁共振成像的预测建模,用于1型奇阿里形患者的手术结果:一项机器学习研究

H Wang1, L Lu2, B Fan2

  • 1Department of Radiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, No. 195, Tongbaibei Road, Zhongyuan District, Zhengzhou 450007, China.

Clinical radiology
|February 22, 2025
PubMed
概括

一个新的机器学习模型准确地预测了手术后Chiari缺陷型I (CM-I) 患者的结果. 关键预测指标包括鼻直径和症状持续时间,有助于手术前决策.

更多相关视频

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.2K
Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression07:00

Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression

Published on: May 7, 2019

8.8K

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...