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

Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

Imaging Studies I: Kidney, Ureter, and Bladder Studies

44
Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
44
External Anatomy of the Kidney01:21

External Anatomy of the Kidney

1.7K
The kidneys are a pair of bean-shaped organs in the human body that play a critical role in maintaining overall health. They filter out waste products from the blood, regulate blood pressure, maintain electrolyte balance, and stimulate the production of red blood cells.
The kidneys are located in the retroperitoneal space on either side of the vertebral column, protected posteriorly by the 11th and 12th ribs. The right kidney sits slightly lower than the left owing to the presence of the liver...
1.7K

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

A lightweight hybrid framework for real-time data refinement in resource-constrained underwater and underground wireless sensor networks.

Scientific reports·2026
Same author

Perspective on unlocking the kinetics of solid-state Li-S batteries by redox mediation.

Science bulletin·2026
Same author

Shifting Biological Drivers Govern Drought and Wetting Legacies on Soil Respiration.

Global change biology·2026
Same author

predALZ: An Ensemble Learning Framework for Identifying Genetic Biomarkers in Familial Alzheimer's Disease.

Current drug targets·2026
Same author

HybridTrust: on-device federated learning with crypto-agile security for legacy and quantum-safe medical devices.

Scientific reports·2026
Same author

GlomNet: glomeruli segmentation network for WSI with diverse staining protocols for kidney disease diagnosis.

Frontiers in medicine·2026

相关实验视频

Updated: Sep 17, 2025

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
09:16

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

7.0K

利用先进的特征提取来改善脏活检细分.

Muhammad Wajeeh Us Sima1, Chengliang Wang1, Muhammad Arshad1

  • 1Department of Computer Science and Technology, College of Computer Science, Chongqing University, Chongqing, China.

Frontiers in medicine
|July 3, 2025
PubMed
概括

V-SAM增强了细分任何模型 (SAM) 用于组织病理细分,提高了病诊断的准确性. 这种新的框架超越了SAM.

关键词:
分段 任何 模型 模型这就是V-SAM.适配器层的适配器层.深度学习是一种深度学习.基于点的快速提示

更多相关视频

Use of 3D Robotic Ultrasound for In Vivo Analysis of Mouse Kidneys
08:21

Use of 3D Robotic Ultrasound for In Vivo Analysis of Mouse Kidneys

Published on: August 12, 2021

3.6K
Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue
05:46

Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue

Published on: June 9, 2020

4.0K

相关实验视频

Last Updated: Sep 17, 2025

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
09:16

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

7.0K
Use of 3D Robotic Ultrasound for In Vivo Analysis of Mouse Kidneys
08:21

Use of 3D Robotic Ultrasound for In Vivo Analysis of Mouse Kidneys

Published on: August 12, 2021

3.6K
Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue
05:46

Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue

Published on: June 9, 2020

4.0K

科学领域:

  • 医学图像分析 医学图像分析
  • 计算病理学计算病理学
  • 数字健康数字健康

背景情况:

  • 由于复杂的淋巴细胞形态和低对比度,细胞病理细分具有挑战性.
  • 诸如分段任何模型 (SAM) 等现有模型在精细细节,整个幻灯片图像 (WSI) 的计算负载和域特定特征方面扎.

研究的目的:

  • 开发一个增强的框架,V-SAM,它适应了基础模型,用于精确的医学图像细分.
  • 改善质细胞在病理学中的细分,以更好地诊断疾病和发现生物标志物.

主要方法:

  • 引入了V-SAM,这是一个新的框架,集成了一个V形适配器与多尺度跳过连接,以保持空间层次.
  • 采用轻量级的适配器层,以对SAM的编码器在组织病理学纹理上进行有效的微调.
  • 实现了一个动态点提示机制,用于使用渐变感知定位对膜边界进行子像素细化.

主要成果:

  • 在HuBMAP数据集上,V-SAM实现了最先进的性能.
  • 证明了高精度 (超过89.31%和97.65%) 和F1分数 (超过86.17%和95.54%).
  • 成功恢复了经常在标准细分模型中丢失的毛细血管级细节.

结论:

  • 在资源有限的环境中,V-SAM提供了一个可扩展的解决方案,用于将基础模型适应临床工作流程.
  • 这种方法弥合了基础模型的概括性和医学成像所需的精度之间的差距.
  • 在慢性病诊断和生物标志物发现方面,V-SAM具有直接的应用.