相关实验视频

Updated: Jun 3, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

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

Published on: November 30, 2022

2.7K

基于深度学习的图像重建对瘤可见性和计算机断层扫描诊断信心的影响

Marie Bertl1, Friedrich-Georg Hahne1, Stephanie Gräger1

  • 1Department of Radiology, Jena University Hospital, Friedrich Schiller University, 07747 Jena, Germany.

Bioengineering (Basel, Switzerland)
|January 8, 2025
PubMed
概括

深度学习图像重建 (DLIR) 显著提高了用于瘤分期的计算机断层扫描 (CT) 图像质量. 所有经验水平的放射科医生都发现DLIR在诊断任务中优越,显示了其在改善临床CT成像方面的潜力.

关键词:
人工智能的人工智能是人工智能.计算机断层扫描 (CT) 是一种计算机断层扫描.深度学习是一种深度学习.图像重建 图像重建瘤分期 瘤分期

更多相关视频

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.4K
Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules10:26

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

1.8K

相关概念视频

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
4.2K