相关实验视频

Updated: Jun 26, 2025

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

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DeepChestGNN:通过先进的图形深度特征进行增强肺部疾病识别的全面框架.

Shakil Rana1, Md Jabed Hosen1, Tasnim Jahan Tonni1

  • 1Health Informatics Research Laboratory (HIRL), Department of Computer Science and Engineering, Daffodil International University, Dhaka 1207, Bangladesh.

Sensors (Basel, Switzerland)
|May 11, 2024
PubMed
概括

一个新的DeepChestGNN模型使用大型数据集准确地从胸部X射线中分类肺部疾病. 这种自动化系统达到99.74%的准确性,改善了呼吸系统疾病的诊断.

关键词:
胸部X射线图像 胸部X射线图像深度卷积神经网络是一个深度卷积神经网络.弹性变形的弹性变形功能提取 特性提取图表神经网络的神经网络图像预处理 图像预处理肺部疾病 肺部疾病

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