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

Flat epithelial atypia of the breast: a pragmatic, context-integrated diagnostic framework within a biological continuum.

Histopathology·2026
Same author

Malignant adenomyoepithelioma of the breast: seven cases illustrating morphological diversity and diagnostic challenges.

Histopathology·2026
Same author

Modeling Zn<sub>3</sub>O<sub>3</sub>/Ga<sub>3</sub>O<sub>3</sub> composite for water splitting: a first-principle DFT study of electronic structure and interfacial reactivity.

Scientific reports·2026
Same author

Oncostatin level and Tumour necrosis factor-alpha gene polymorphism in predicting Blastocystis infection in inflammatory bowel disease.

Acta tropica·2026
Same author

Triple-negative breast cancer: a threshold-defined diagnostic category within a biological continuum.

Journal of clinical pathology·2026
Same author

Breast core needle biopsy diagnosis and personalized treatment: navigating pitfalls and challenging lesions.

Histopathology·2026
Same journal

RETRACTED: Sabir et al. DNA Based and Stimuli-Responsive Smart Nanocarrier for Diagnosis and Treatment of Cancer: Applications and Challenges. <i>Cancers</i> 2021, <i>13</i>, 3396.

Cancers·2026
Same journal

Correction: Adeluola et al. Chemoprevention of 4-NQO-Induced Oral Cancer by the Combination of Resveratrol and EGCG: In Vivo, In Silico and In Vitro Studies. <i>Cancers</i> 2026, <i>18</i>, 1098.

Cancers·2026
Same journal

Correction: Peñalver et al. Guidelines for Diagnosis, Treatment, and Follow-Up of Patients with Follicular Lymphoma-Spanish Lymphoma Group (GELTAMO) 2026. <i>Cancers</i> 2026, <i>18</i>, 395.

Cancers·2026
Same journal

Correction: Accorsi Buttini et al. Development of a Simplified Geriatric Score-4 (SGS-4) to Predict Outcomes After Allogeneic Hematopoietic Stem Cell Transplantation in Patients Aged over 50. <i>Cancers</i> 2025, <i>17</i>, 3278.

Cancers·2026
Same journal

Age-Stratified Long-Term Outcomes of Immune Checkpoint Inhibitors for Stage IV Melanoma and NSCLC in The Netherlands: A Population-Based Study.

Cancers·2026
Same journal

Targeting Ferroptosis in Glioblastoma: Molecular Mechanisms, Tumor Microenvironment, and Therapeutic Opportunities.

Cancers·2026
查看所有相关文章

相关实验视频

Updated: Jun 6, 2025

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
07:54

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence

Published on: October 25, 2011

18.6K

使用人工智能对乳腺癌瘤内部异质性的表征.

Ayat G Lashen1,2, Noorul Wahab3, Michael Toss1

  • 1Breast Cancer Research Unit, University of Nottingham, Nottingham NG7 2RD, UK.

Cancers
|November 27, 2024
PubMed
概括
此摘要是机器生成的。

乳腺癌 (BC) 中的瘤内部异质性 (ITH) 是复杂的. 深度学习模型准确地评估了ITH,揭示它预测了瘤的攻击性行为和早期光BC患者的不良结果.

关键词:
人工智能的人工智能是人工智能.乳腺癌 乳腺癌 乳腺癌瘤内部的异质性

更多相关视频

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model
08:08

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model

Published on: June 11, 2014

15.8K
Building Up a High-throughput Screening Platform to Assess the Heterogeneity of HER2 Gene Amplification in Breast Cancers
11:34

Building Up a High-throughput Screening Platform to Assess the Heterogeneity of HER2 Gene Amplification in Breast Cancers

Published on: December 5, 2017

12.6K

相关实验视频

Last Updated: Jun 6, 2025

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
07:54

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence

Published on: October 25, 2011

18.6K
Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model
08:08

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model

Published on: June 11, 2014

15.8K
Building Up a High-throughput Screening Platform to Assess the Heterogeneity of HER2 Gene Amplification in Breast Cancers
11:34

Building Up a High-throughput Screening Platform to Assess the Heterogeneity of HER2 Gene Amplification in Breast Cancers

Published on: December 5, 2017

12.6K

科学领域:

  • 在瘤学瘤学.
  • 计算病理学计算病理学
  • 医疗成像医学成像

背景情况:

  • 瘤内部异质性 (ITH) 是乳腺癌 (BC) 的一个关键特征,影响疾病进展,预后和治疗疗效.
  • 由于其固有的复杂性,在BC中对ITH的准确表征仍然是一个重大挑战.

研究的目的:

  • 利用深度学习 (DL) 技术对早期光线乳腺癌中ITH进行全面评估.
  • 用先进的计算方法阐明ITH对瘤行为和患者结果的影响.

主要方法:

  • 分析了2561例早期发光性BC病例的大队伍,使用整个幻灯片图像 (WSIs).
  • 来自瘤和 stromal 组件的形态特征被注释,并开发了一个DL模型来量化异质性.
  • 产生了整体异质性得分,并与临床病理特征和患者结局相关联.

主要成果:

  • 量化了162个形态特征,显示出显著的特征间相关性.
  • 高ITH显着与较大的瘤大小,差异化,高增殖,无特殊类型 (NST) 瘤和低雌激素受体 (ER) 表达相关.
  • 高整体异质性得分独立预测患者的不良结果,并与瘤的攻击性行为有关.

结论:

  • 深度学习模型提供了一种强大的方法,可以准确地解读乳腺癌中瘤内部异质性的复杂性.
  • DL衍生异质度指标为预测早期光BC患者的结果提供了宝贵的补充信息.