Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

The comet assay as a tool for human biomonitoring of exposure to environmental and occupational agents - A summary of systematic reviews and meta-analyses.

Mutation research. Reviews in mutation research·2026
Same author

A Landscape Analysis of Human SUMOylation.

Molecular & cellular proteomics : MCP·2026
Same author

Rare variants in embryonic development and cell signalling genes in syndromic and non-syndromic orofacial clefts: evidence from a Colombian Caribbean cohort.

Journal of human genetics·2026
Same author

The comet assay as a tool in human biomonitoring exposure to antineoplastic drugs - A systematic review and meta-analysis.

Mutation research. Reviews in mutation research·2026
Same author

Towards a validation of the standard and enzyme-linked comet assay: a retrospective variability analysis.

Archives of toxicology·2026
Same author

The comet assay as a tool in human biomonitoring exposure to anaesthetic gases - A systematic review and meta-analysis.

Mutation research. Reviews in mutation research·2026

相关实验视频

Updated: Jun 12, 2025

In vivo Macrophage Imaging Using MR Targeted Contrast Agent for Longitudinal Evaluation of Septic Arthritis
07:15

In vivo Macrophage Imaging Using MR Targeted Contrast Agent for Longitudinal Evaluation of Septic Arthritis

Published on: October 20, 2013

9.3K

一个多任务学习模型,用于临床解释性芝麻炎分级.

Li Guo1, Anas M Tahir1, Michael Hore2

  • 1Department of Electrical and Computer Engineering, University of British Columbia, Canada.

Computers in biology and medicine
|September 26, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的可解释AI模型,用于对马类芝麻炎进行分级. 该模型通过同时分级严重程度和细分血管通道来提高诊断准确度和透明度.

关键词:
交叉注意力交叉注意力可以解释性 解释性放射图片 放射图片 放射图片芝麻炎 这是一种芝麻炎.视觉变压器 视觉变压器

更多相关视频

Destabilization of the Medial Meniscus and Cartilage Scratch Murine Model of Accelerated Osteoarthritis
07:06

Destabilization of the Medial Meniscus and Cartilage Scratch Murine Model of Accelerated Osteoarthritis

Published on: July 6, 2022

4.4K
Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness
08:52

Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness

Published on: March 18, 2022

2.9K

相关实验视频

Last Updated: Jun 12, 2025

In vivo Macrophage Imaging Using MR Targeted Contrast Agent for Longitudinal Evaluation of Septic Arthritis
07:15

In vivo Macrophage Imaging Using MR Targeted Contrast Agent for Longitudinal Evaluation of Septic Arthritis

Published on: October 20, 2013

9.3K
Destabilization of the Medial Meniscus and Cartilage Scratch Murine Model of Accelerated Osteoarthritis
07:06

Destabilization of the Medial Meniscus and Cartilage Scratch Murine Model of Accelerated Osteoarthritis

Published on: July 6, 2022

4.4K
Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness
08:52

Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness

Published on: March 18, 2022

2.9K

科学领域:

  • 兽医医学 兽医医学 兽医医学
  • 人工智能的人工智能
  • 医疗成像医学成像

背景情况:

  • 马类芝麻炎是一种影响马匹表现和增加受伤风险的普遍疾病.
  • 精确分类芝麻炎对于有效的治疗策略至关重要.
  • 目前用于芝麻炎的深度学习模型缺乏临床解释性.

研究的目的:

  • 开发一种新的,临床上可解释的多任务学习模型,用于马类芝麻炎分级.
  • 将临床知识与机器学习相结合,以提高诊断准确度.
  • 提高人工智能驱动的兽医诊断决策的透明度.

主要方法:

  • 采用双分支解码架构,同时对芝麻炎进行分级和血管通道细分.
  • 功能融合被用来促进两项任务之间的知识转移.
  • 创建了一个诊断报告和血管通道面罩来解释分级决策.

主要成果:

  • 拟议的模型在两个独立的数据集上,与最先进的方法相比,显示出更高的性能.
  • 该模型在芝麻炎分级和血管通道细分方面都取得了很高的准确性.
  • 生成的诊断报告为该模型的分级结果提供了明确的解释.

结论:

  • 开发的模型提供了一种临床上可解释和准确的方法来对马类芝麻炎进行分类.
  • 该框架为可解释的AI在诊断类似兽医疾病方面提供了基础.
  • 功能融合和多任务学习的整合提高了诊断能力和透明度.