相关实验视频

Updated: Jun 20, 2025

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

48.0K

在纵向瘤成像中分析病变变化和病变检测审查的图形理论方法

Beniamin Di Veroli1, Richard Lederman2, Yigal Shoshan3

  • 1School of Computer Science and Engineering, The Hebrew University of Jerusalem, Israel.

Medical image analysis
|July 19, 2024
PubMed
概括

这项研究引入了一种新的基于图形的方法,用于分析癌症患者扫描中的病变变化,提高在放射性随访期间检测错过或不正确的病变识别的准确性.

关键词:
对病变变化的分析.损伤匹配的损伤匹配损伤追踪器可以追踪损伤.纵向的放射学后续检查修订损伤注释的修订.

更多相关视频

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease09:06

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

12.1K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K

相关概念视频

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
336