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

Intravitreal Faricimab for Retinal Vein Occlusion: Real-World Outcomes from the Multicenter FARTURK-RVO Study in Türkiye.

Ophthalmology and therapy·2026
Same author

Pushing the Limits of Balance in Atrioventricular Septal Defect and Complex Techniques for Valve Re-repair in Atrioventricular Septal Defect.

Seminars in thoracic and cardiovascular surgery. Pediatric cardiac surgery annual·2026
Same author

Identifying modifiable perioperative risk factors for wound healing complications after immediate autologous breast reconstruction.

American journal of surgery·2026
Same author

Valved Femoral Vein Homografts as Right Ventricle to Pulmonary Artery Conduit for Repair of Truncus Arteriosus.

Annals of thoracic surgery short reports·2026
Same author

Favoring flat minima improves generalization of transfer-learned models for breast ultrasound tumor classification.

Scientific reports·2026
Same author

Alzheimer's and Parkinson's Detection with Video-Based Hybrid Deep Learning from Brain MRI.

Journal of imaging informatics in medicine·2026
Same journal

Kolmogorov-Arnold Guided Local-Global Attention for Medical Image Classification.

Journal of imaging informatics in medicine·2026
Same journal

Artificial Intelligence-Assisted Inner Ear Computed Tomography Analysis: Radiomics-Based Comparison of Affected and Unaffected Ears in Idiopathic Sudden Sensorineural Hearing Loss.

Journal of imaging informatics in medicine·2026
Same journal

High Adoption, Higher Expectations: A Cross-Sectional Survey of Radiologist Engagement with Artificial Intelligence in the United Arab Emirates.

Journal of imaging informatics in medicine·2026
Same journal

Complex-valued Multi-scale Hybrid Attention Network for Fast MRI via Sparsified Data Learning.

Journal of imaging informatics in medicine·2026
Same journal

Automatic Phase and Sequence Identification in Gd-EOB-DTPA-Enhanced Liver MRI Using Deep Convolutional and Sequential Learning.

Journal of imaging informatics in medicine·2026
Same journal

Ultrasound-Based AI in Predicting Hormone Receptor Status in Breast Cancer: Is "Digital Biopsy" Possible.

Journal of imaging informatics in medicine·2026
查看所有相关文章

相关实验视频

Updated: Jun 9, 2025

Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors
05:19

Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors

Published on: March 29, 2019

10.3K

比较膀癌组织预测使用视觉变压器

Kubilay Muhammed Sunnetci1,2, Faruk Enes Oguz3,2, Mahmut Nedim Ekersular2

  • 1Department of Electrical and Electronics Engineering, Osmaniye Korkut Ata University, Osmaniye, Turkey.

Journal of imaging informatics in medicine
|October 25, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了计算机辅助系统,用于使用内镜图像早期检测膀癌. 视觉变压器模型实现了最高的准确性,提高了诊断效率.

关键词:
膀癌是一种癌症.分类 分类 分类 分类.深度学习是一种深度学习.机器学习是机器学习.视觉变压器 视觉变压器

更多相关视频

An Orthotopic Bladder Tumor Model and the Evaluation of Intravesical saRNA Treatment
08:43

An Orthotopic Bladder Tumor Model and the Evaluation of Intravesical saRNA Treatment

Published on: July 28, 2012

14.7K
3-D Cell Culture System for Studying Invasion and Evaluating Therapeutics in Bladder Cancer
09:24

3-D Cell Culture System for Studying Invasion and Evaluating Therapeutics in Bladder Cancer

Published on: September 13, 2018

8.9K

相关实验视频

Last Updated: Jun 9, 2025

Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors
05:19

Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors

Published on: March 29, 2019

10.3K
An Orthotopic Bladder Tumor Model and the Evaluation of Intravesical saRNA Treatment
08:43

An Orthotopic Bladder Tumor Model and the Evaluation of Intravesical saRNA Treatment

Published on: July 28, 2012

14.7K
3-D Cell Culture System for Studying Invasion and Evaluating Therapeutics in Bladder Cancer
09:24

3-D Cell Culture System for Studying Invasion and Evaluating Therapeutics in Bladder Cancer

Published on: September 13, 2018

8.9K

科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 在瘤学瘤学.

背景情况:

  • 早期检测膀癌是关键的,但由于无症状的早期阶段,具有挑战性.
  • 对内镜图像的专家评估是耗时的,可能涉及跨学科的合作.
  • 计算机辅助决策支持系统可以优化专家治疗患者的时间.

研究的目的:

  • 评估三种不同的计算模型对膀组织分类的性能.
  • 开发一个可访问的计算机辅助决策支持系统,用于膀癌诊断.

主要方法:

  • 三种模型的开发和比较:基于卷积神经网络 (CNN) 的深度学习 (DL) 模型,混合DL+机器学习 (ML) 模型和视觉转换器 (ViT) 架构.
  • 在膀组织数据集上的培训和测试模型.
  • 为决策支持系统实施图形用户界面 (GUI).

主要成果:

  • 与DL和DL+ML模型相比,视觉变压器 (ViT) 架构展示了优越的性能指标.
  • 准确度得分为0.9086 (DL),0.9071 (DL+ML) 和0.9257 (ViT) 的结果.
  • F1分数为0.8884 (DL),0.8496 (DL+ML) 和0.8931 (ViT). 这些分数均为0.8884 (DL),0.8496 (DL+ML) 和0.8931 (ViT).

结论:

  • 视觉变压器模型显示出从内镜图像中准确检测膀癌的显著前景.
  • 使用ViT的计算机辅助决策支持系统可以提高诊断效率,并可能改善患者的治疗结果.