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 current and future role of the MRI radiographer in radiation oncology: A collaborative, experiential reflection on the Australian rollout of dedicated MRI simulators.

Journal of medical radiation sciences·2023
Same author

Repeatability and reproducibility of magnetic resonance imaging-based radiomic features in rectal cancer.

Journal of medical imaging (Bellingham, Wash.)·2022
Same author

Measurements of human tolerance to horizontal rotation within an MRI scanner: Towards gantry-free radiation therapy.

Journal of medical imaging and radiation oncology·2020
Same author

Multi-observer contouring of male pelvic anatomy: Highly variable agreement across conventional and emerging structures of interest.

Journal of medical imaging and radiation oncology·2019
Same author

An assessment of set up position for MRI scanning for the purposes of rectal cancer radiotherapy treatment planning.

Journal of medical radiation sciences·2018
Same author

The integration of MRI in radiation therapy: collaboration of radiographers and radiation therapists.

Journal of medical radiation sciences·2017
Same journal

Navigating Acceptability: A Think-Aloud Study of Subjective and Contextual Factors in Radiographic Image Rejection.

Journal of medical radiation sciences·2026
Same journal

Continuing Professional Development-Radiation Therapy.

Journal of medical radiation sciences·2026
Same journal

Compliance With NICE Guidance for Cervical Spine Trauma Imaging: A Single Centre Retrospective Evaluation.

Journal of medical radiation sciences·2026
Same journal

A Model to Facilitate Resilience Among Diagnostic Radiography Students.

Journal of medical radiation sciences·2026
Same journal

Mapping the Landscape of Over-Scanning in CT Imaging: A Scoping Review.

Journal of medical radiation sciences·2026
Same journal

Prone Breast Radiotherapy on the MR-Linac: A Technical Note on Skin-Couch Contact Dose Effects.

Journal of medical radiation sciences·2026
查看所有相关文章

相关实验视频

Updated: Jun 8, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.7K

深度学习用于癌症图像细分的深度学习.

Robba Rai1,2,3

  • 1South Western Sydney Clinical School, University of New South Wales, Liverpool, New South Wales, Australia.

Journal of medical radiation sciences
|November 6, 2024
PubMed
概括
此摘要是机器生成的。

深度学习 (DL) 通过自动化图像分割以实现更快,更准确的分析,显著提高了癌症成像. 需要进一步的研究来克服跨系统的可变图像质量等挑战.

科学领域:

  • 医疗成像医学成像
  • 在瘤学中使用人工智能
  • 放射学 放射学是一门学科.

背景情况:

  • 深度学习 (DL) 模型,特别是U-Net和卷积神经网络 (CNN),在医疗成像中越来越多地用于自动化细分任务.
  • 准确的细分对于瘤学的定量分析和治疗规划至关重要.
关键词:
卷积神经网络是一种卷积神经网络.在U-Net中,U-Net是U-Net.深度学习是一种深度学习.语义细分 语义细分 语义细分 语义细分

更多相关视频

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

369
Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.6K

相关实验视频

Last Updated: Jun 8, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.7K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

369
Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.6K